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1.78B
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dict
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stringclasses
6 values
go2_short_world_pair_000000
train
go2_short
images/frames/go2_short_frame_000000.jpg
images/frames/go2_short_frame_000043.jpg
images/pair_previews/go2_short_world_pair_000000.jpg
0
43
1,778,055,838.694958
1,778,055,841.708688
3.013731
{ "quat_xyzw": [ -0.018005, 0.013698, 0.674864, 0.737596 ], "x_m": -0.47853, "y_m": 4.544096, "yaw_rad": 1.481849, "z_m": 0.309581 }
{ "quat_xyzw": [ -0.012593, 0.008003, 0.682179, 0.731033 ], "x_m": -0.413374, "y_m": 5.253682, "yaw_rad": 1.501577, "z_m": 0.311336 }
{ "distance_m": 0.712571, "dx_body_m": 0.712569, "dx_world_m": 0.065156, "dy_body_m": -0.001866, "dy_world_m": 0.709586, "dyaw_rad": 0.019727 }
0.001755
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000001
train
go2_short
images/frames/go2_short_frame_000004.jpg
images/frames/go2_short_frame_000047.jpg
images/pair_previews/go2_short_world_pair_000001.jpg
4
47
1,778,055,838.972504
1,778,055,841.991272
3.018769
{ "quat_xyzw": [ -0.018032, 0.013811, 0.674911, 0.737549 ], "x_m": -0.478512, "y_m": 4.544148, "yaw_rad": 1.481982, "z_m": 0.309553 }
{ "quat_xyzw": [ -0.005181, 0.007104, 0.6868, 0.726794 ], "x_m": -0.391327, "y_m": 5.521334, "yaw_rad": 1.514247, "z_m": 0.315313 }
{ "distance_m": 0.981068, "dx_body_m": 0.981068, "dx_world_m": 0.087185, "dy_body_m": -0.000167, "dy_world_m": 0.977186, "dyaw_rad": 0.032265 }
0.00576
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000002
train
go2_short
images/frames/go2_short_frame_000008.jpg
images/frames/go2_short_frame_000051.jpg
images/pair_previews/go2_short_world_pair_000002.jpg
8
51
1,778,055,839.250469
1,778,055,842.266992
3.016523
{ "quat_xyzw": [ -0.018049, 0.013886, 0.674881, 0.737575 ], "x_m": -0.478489, "y_m": 4.544169, "yaw_rad": 1.481904, "z_m": 0.309543 }
{ "quat_xyzw": [ -0.012424, 0.002645, 0.674934, 0.737769 ], "x_m": -0.363993, "y_m": 5.756468, "yaw_rad": 1.481745, "z_m": 0.300646 }
{ "distance_m": 1.217694, "dx_body_m": 1.217677, "dx_world_m": 0.114496, "dy_body_m": -0.006422, "dy_world_m": 1.212299, "dyaw_rad": -0.000159 }
-0.008897
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000003
train
go2_short
images/frames/go2_short_frame_000012.jpg
images/frames/go2_short_frame_000055.jpg
images/pair_previews/go2_short_world_pair_000003.jpg
12
55
1,778,055,839.543631
1,778,055,842.556243
3.012611
{ "quat_xyzw": [ -0.018152, 0.013877, 0.674965, 0.737496 ], "x_m": -0.478565, "y_m": 4.5442, "yaw_rad": 1.482131, "z_m": 0.30952 }
{ "quat_xyzw": [ -0.016177, 0.01033, 0.672859, 0.739522 ], "x_m": -0.33442, "y_m": 6.03218, "yaw_rad": 1.476283, "z_m": 0.318199 }
{ "distance_m": 1.494946, "dx_body_m": 1.494899, "dx_world_m": 0.144145, "dy_body_m": -0.01182, "dy_world_m": 1.48798, "dyaw_rad": -0.005848 }
0.008679
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000004
train
go2_short
images/frames/go2_short_frame_000016.jpg
images/frames/go2_short_frame_000059.jpg
images/pair_previews/go2_short_world_pair_000004.jpg
16
59
1,778,055,839.819721
1,778,055,842.824889
3.005168
{ "quat_xyzw": [ -0.018282, 0.013895, 0.675056, 0.737409 ], "x_m": -0.478632, "y_m": 4.544252, "yaw_rad": 1.482378, "z_m": 0.309465 }
{ "quat_xyzw": [ 0.002357, 0.003669, 0.681001, 0.73227 ], "x_m": -0.314744, "y_m": 6.312626, "yaw_rad": 1.498284, "z_m": 0.315242 }
{ "distance_m": 1.775952, "dx_body_m": 1.775938, "dx_world_m": 0.163888, "dy_body_m": -0.007095, "dy_world_m": 1.768374, "dyaw_rad": 0.015906 }
0.005777
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000005
train
go2_short
images/frames/go2_short_frame_000020.jpg
images/frames/go2_short_frame_000063.jpg
images/pair_previews/go2_short_world_pair_000005.jpg
20
63
1,778,055,840.091869
1,778,055,843.106602
3.014734
{ "quat_xyzw": [ -0.018296, 0.013849, 0.674998, 0.737463 ], "x_m": -0.478654, "y_m": 4.54425, "yaw_rad": 1.482219, "z_m": 0.309496 }
{ "quat_xyzw": [ -0.014374, -0.005218, 0.679045, 0.733937 ], "x_m": -0.293712, "y_m": 6.582773, "yaw_rad": 1.492971, "z_m": 0.311928 }
{ "distance_m": 2.046895, "dx_body_m": 2.046891, "dx_world_m": 0.184942, "dy_body_m": -0.003885, "dy_world_m": 2.038523, "dyaw_rad": 0.010752 }
0.002432
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000006
train
go2_short
images/frames/go2_short_frame_000024.jpg
images/frames/go2_short_frame_000067.jpg
images/pair_previews/go2_short_world_pair_000006.jpg
24
67
1,778,055,840.370119
1,778,055,843.387246
3.017128
{ "quat_xyzw": [ -0.018397, 0.013999, 0.674968, 0.737485 ], "x_m": -0.478629, "y_m": 4.544349, "yaw_rad": 1.482144, "z_m": 0.309467 }
{ "quat_xyzw": [ -0.017395, -0.001634, 0.678144, 0.734721 ], "x_m": -0.267646, "y_m": 6.832243, "yaw_rad": 1.490456, "z_m": 0.31442 }
{ "distance_m": 2.297602, "dx_body_m": 2.297589, "dx_world_m": 0.210983, "dy_body_m": -0.007593, "dy_world_m": 2.287894, "dyaw_rad": 0.008312 }
0.004953
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000007
train
go2_short
images/frames/go2_short_frame_000028.jpg
images/frames/go2_short_frame_000071.jpg
images/pair_previews/go2_short_world_pair_000007.jpg
28
71
1,778,055,840.655727
1,778,055,843.664293
3.008566
{ "quat_xyzw": [ -0.018491, 0.014037, 0.675047, 0.73741 ], "x_m": -0.478678, "y_m": 4.544404, "yaw_rad": 1.48236, "z_m": 0.309462 }
{ "quat_xyzw": [ -0.01243, 0.002285, 0.683573, 0.729773 ], "x_m": -0.261422, "y_m": 7.096769, "yaw_rad": 1.505291, "z_m": 0.295174 }
{ "distance_m": 2.561595, "dx_body_m": 2.561579, "dx_world_m": 0.217256, "dy_body_m": 0.009021, "dy_world_m": 2.552365, "dyaw_rad": 0.022931 }
-0.014288
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000008
train
go2_short
images/frames/go2_short_frame_000032.jpg
images/frames/go2_short_frame_000075.jpg
images/pair_previews/go2_short_world_pair_000008.jpg
32
75
1,778,055,840.93281
1,778,055,843.94224
3.00943
{ "quat_xyzw": [ -0.028514, 0.017456, 0.674997, 0.737062 ], "x_m": -0.473156, "y_m": 4.600636, "yaw_rad": 1.48235, "z_m": 0.309574 }
{ "quat_xyzw": [ -0.028628, 0.001391, 0.775982, 0.630103 ], "x_m": -0.237512, "y_m": 7.267199, "yaw_rad": 1.776768, "z_m": 0.311783 }
{ "distance_m": 2.676955, "dx_body_m": 2.676955, "dx_world_m": 0.235644, "dy_body_m": 0.000818, "dy_world_m": 2.666563, "dyaw_rad": 0.294418 }
0.002209
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000009
train
go2_short
images/frames/go2_short_frame_000036.jpg
images/frames/go2_short_frame_000079.jpg
images/pair_previews/go2_short_world_pair_000009.jpg
36
79
1,778,055,841.214912
1,778,055,844.224905
3.009993
{ "quat_xyzw": [ 0.007197, -0.000174, 0.678906, 0.73419 ], "x_m": -0.448805, "y_m": 4.801478, "yaw_rad": 1.492539, "z_m": 0.312135 }
{ "quat_xyzw": [ -0.026527, -0.023572, 0.887927, 0.458614 ], "x_m": -0.282572, "y_m": 7.37093, "yaw_rad": 2.187228, "z_m": 0.317741 }
{ "distance_m": 2.574824, "dx_body_m": 2.574584, "dx_world_m": 0.166233, "dy_body_m": 0.035148, "dy_world_m": 2.569452, "dyaw_rad": 0.694689 }
0.005606
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000010
train
go2_short
images/frames/go2_short_frame_000040.jpg
images/frames/go2_short_frame_000083.jpg
images/pair_previews/go2_short_world_pair_000010.jpg
40
83
1,778,055,841.515046
1,778,055,844.51532
3.000274
{ "quat_xyzw": [ -0.001993, 0.002123, 0.681058, 0.732224 ], "x_m": -0.433623, "y_m": 5.042863, "yaw_rad": 1.498421, "z_m": 0.309781 }
{ "quat_xyzw": [ -0.007083, -0.007158, 0.898523, 0.438812 ], "x_m": -0.361612, "y_m": 7.462961, "yaw_rad": 2.232931, "z_m": 0.31616 }
{ "distance_m": 2.421169, "dx_body_m": 2.41897, "dx_world_m": 0.072011, "dy_body_m": 0.10318, "dy_world_m": 2.420098, "dyaw_rad": 0.73451 }
0.006379
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000011
train
go2_short
images/frames/go2_short_frame_000044.jpg
images/frames/go2_short_frame_000087.jpg
images/pair_previews/go2_short_world_pair_000011.jpg
44
87
1,778,055,841.775789
1,778,055,844.788815
3.013025
{ "quat_xyzw": [ -0.017784, 0.006584, 0.681137, 0.73191 ], "x_m": -0.406796, "y_m": 5.315072, "yaw_rad": 1.498674, "z_m": 0.31335 }
{ "quat_xyzw": [ -0.013318, -0.006057, 0.912613, 0.408562 ], "x_m": -0.466524, "y_m": 7.597641, "yaw_rad": 2.299528, "z_m": 0.31803 }
{ "distance_m": 2.28335, "dx_body_m": 2.272331, "dx_world_m": -0.059728, "dy_body_m": 0.224053, "dy_world_m": 2.282569, "dyaw_rad": 0.800853 }
0.00468
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000012
train
go2_short
images/frames/go2_short_frame_000048.jpg
images/frames/go2_short_frame_000091.jpg
images/pair_previews/go2_short_world_pair_000012.jpg
48
91
1,778,055,842.054595
1,778,055,845.067269
3.012674
{ "quat_xyzw": [ -0.015894, 0.001872, 0.685554, 0.727846 ], "x_m": -0.386593, "y_m": 5.597786, "yaw_rad": 1.510718, "z_m": 0.30758 }
{ "quat_xyzw": [ -0.019336, -0.001167, 0.953041, 0.302222 ], "x_m": -0.554043, "y_m": 7.691144, "yaw_rad": 2.527177, "z_m": 0.314435 }
{ "distance_m": 2.100045, "dx_body_m": 2.079527, "dx_world_m": -0.16745, "dy_body_m": 0.292838, "dy_world_m": 2.093358, "dyaw_rad": 1.016459 }
0.006855
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000013
train
go2_short
images/frames/go2_short_frame_000052.jpg
images/frames/go2_short_frame_000095.jpg
images/pair_previews/go2_short_world_pair_000013.jpg
52
95
1,778,055,842.332527
1,778,055,845.354145
3.021618
{ "quat_xyzw": [ 0.004028, 0.000486, 0.67479, 0.737999 ], "x_m": -0.349606, "y_m": 5.844911, "yaw_rad": 1.48136, "z_m": 0.315623 }
{ "quat_xyzw": [ -0.027959, -0.015037, 0.957275, 0.287432 ], "x_m": -0.658154, "y_m": 7.763266, "yaw_rad": 2.557192, "z_m": 0.314944 }
{ "distance_m": 1.94301, "dx_body_m": 1.883129, "dx_world_m": -0.308548, "dy_body_m": 0.478657, "dy_world_m": 1.918355, "dyaw_rad": 1.075833 }
-0.000679
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000014
train
go2_short
images/frames/go2_short_frame_000056.jpg
images/frames/go2_short_frame_000099.jpg
images/pair_previews/go2_short_world_pair_000014.jpg
56
99
1,778,055,842.618721
1,778,055,845.636201
3.017479
{ "quat_xyzw": [ -0.012951, -0.00386, 0.673862, 0.738734 ], "x_m": -0.332821, "y_m": 6.082519, "yaw_rad": 1.47887, "z_m": 0.319682 }
{ "quat_xyzw": [ -0.022428, -0.003242, 0.971553, 0.235735 ], "x_m": -0.766644, "y_m": 7.82757, "yaw_rad": 2.665163, "z_m": 0.311094 }
{ "distance_m": 1.798167, "dx_body_m": 1.69786, "dx_world_m": -0.433823, "dy_body_m": 0.592181, "dy_world_m": 1.745051, "dyaw_rad": 1.186293 }
-0.008588
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000015
train
go2_short
images/frames/go2_short_frame_000060.jpg
images/frames/go2_short_frame_000103.jpg
images/pair_previews/go2_short_world_pair_000015.jpg
60
103
1,778,055,842.896524
1,778,055,845.917819
3.021295
{ "quat_xyzw": [ 0.000515, -0.009281, 0.681124, 0.732109 ], "x_m": -0.307905, "y_m": 6.375885, "yaw_rad": 1.498759, "z_m": 0.311178 }
{ "quat_xyzw": [ -0.023398, -0.01916, 0.971721, 0.234189 ], "x_m": -0.912544, "y_m": 7.896008, "yaw_rad": 2.667723, "z_m": 0.313097 }
{ "distance_m": 1.635959, "dx_body_m": 1.472661, "dx_world_m": -0.604639, "dy_body_m": 0.712482, "dy_world_m": 1.520123, "dyaw_rad": 1.168964 }
0.001919
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000016
train
go2_short
images/frames/go2_short_frame_000064.jpg
images/frames/go2_short_frame_000107.jpg
images/pair_previews/go2_short_world_pair_000016.jpg
64
107
1,778,055,843.174128
1,778,055,846.200076
3.025948
{ "quat_xyzw": [ -0.004212, 0.007858, 0.684196, 0.729244 ], "x_m": -0.286042, "y_m": 6.643792, "yaw_rad": 1.507116, "z_m": 0.311746 }
{ "quat_xyzw": [ -0.005071, 0.000425, 0.973249, 0.229695 ], "x_m": -1.046753, "y_m": 7.969013, "yaw_rad": 2.67805, "z_m": 0.313322 }
{ "distance_m": 1.528035, "dx_body_m": 1.274125, "dx_world_m": -0.760711, "dy_body_m": 0.843503, "dy_world_m": 1.325221, "dyaw_rad": 1.170934 }
0.001576
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000017
train
go2_short
images/frames/go2_short_frame_000068.jpg
images/frames/go2_short_frame_000111.jpg
images/pair_previews/go2_short_world_pair_000017.jpg
68
111
1,778,055,843.463942
1,778,055,846.479956
3.016014
{ "quat_xyzw": [ -0.017881, -0.009523, 0.681264, 0.731758 ], "x_m": -0.266584, "y_m": 6.931204, "yaw_rad": 1.499154, "z_m": 0.305553 }
{ "quat_xyzw": [ -0.010789, -0.011273, 0.980848, 0.194151 ], "x_m": -1.177902, "y_m": 8.030837, "yaw_rad": 2.75054, "z_m": 0.317501 }
{ "distance_m": 1.428178, "dx_body_m": 1.031579, "dx_world_m": -0.911318, "dy_body_m": 0.987693, "dy_world_m": 1.099633, "dyaw_rad": 1.251386 }
0.011948
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000018
train
go2_short
images/frames/go2_short_frame_000072.jpg
images/frames/go2_short_frame_000115.jpg
images/pair_previews/go2_short_world_pair_000018.jpg
72
115
1,778,055,843.735536
1,778,055,846.753823
3.018287
{ "quat_xyzw": [ -0.008549, 0.004792, 0.687575, 0.726047 ], "x_m": -0.249043, "y_m": 7.145651, "yaw_rad": 1.516325, "z_m": 0.316003 }
{ "quat_xyzw": [ 0.00323, 0.004079, 0.98334, 0.181701 ], "x_m": -1.355883, "y_m": 8.098867, "yaw_rad": 2.776133, "z_m": 0.313649 }
{ "distance_m": 1.460724, "dx_body_m": 0.89154, "dx_world_m": -1.10684, "dy_body_m": 1.157096, "dy_world_m": 0.953216, "dyaw_rad": 1.259809 }
-0.002354
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000019
train
go2_short
images/frames/go2_short_frame_000076.jpg
images/frames/go2_short_frame_000119.jpg
images/pair_previews/go2_short_world_pair_000019.jpg
76
119
1,778,055,844.015193
1,778,055,847.038955
3.023763
{ "quat_xyzw": [ -0.028938, -0.002978, 0.800226, 0.598993 ], "x_m": -0.244347, "y_m": 7.290585, "yaw_rad": 1.85563, "z_m": 0.313348 }
{ "quat_xyzw": [ -0.012864, -0.00584, 0.980607, 0.195475 ], "x_m": -1.554502, "y_m": 8.182105, "yaw_rad": 2.74788, "z_m": 0.317889 }
{ "distance_m": 1.584713, "dx_body_m": 1.22375, "dx_world_m": -1.310155, "dy_body_m": 1.006852, "dy_world_m": 0.89152, "dyaw_rad": 0.89225 }
0.004541
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000020
train
go2_short
images/frames/go2_short_frame_000080.jpg
images/frames/go2_short_frame_000123.jpg
images/pair_previews/go2_short_world_pair_000020.jpg
80
123
1,778,055,844.295087
1,778,055,847.31623
3.021143
{ "quat_xyzw": [ -0.02566, -0.023363, 0.897592, 0.439459 ], "x_m": -0.300134, "y_m": 7.391104, "yaw_rad": 2.230186, "z_m": 0.316994 }
{ "quat_xyzw": [ -0.018424, 0.011417, 0.914821, 0.403277 ], "x_m": -1.703771, "y_m": 8.266958, "yaw_rad": 2.311324, "z_m": 0.325862 }
{ "distance_m": 1.654484, "dx_body_m": 1.552162, "dx_world_m": -1.403637, "dy_body_m": 0.57281, "dy_world_m": 0.875854, "dyaw_rad": 0.081139 }
0.008868
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000021
train
go2_short
images/frames/go2_short_frame_000084.jpg
images/frames/go2_short_frame_000127.jpg
images/pair_previews/go2_short_world_pair_000021.jpg
84
127
1,778,055,844.579156
1,778,055,847.59294
3.013784
{ "quat_xyzw": [ 0.007594, -0.008927, 0.897952, 0.439938 ], "x_m": -0.394837, "y_m": 7.509961, "yaw_rad": 2.230567, "z_m": 0.311801 }
{ "quat_xyzw": [ -0.002593, 0.01015, 0.909492, 0.41559 ], "x_m": -1.801564, "y_m": 8.386923, "yaw_rad": 2.284468, "z_m": 0.310928 }
{ "distance_m": 1.657692, "dx_body_m": 1.55515, "dx_world_m": -1.406727, "dy_body_m": 0.573979, "dy_world_m": 0.876962, "dyaw_rad": 0.0539 }
-0.000873
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000022
train
go2_short
images/frames/go2_short_frame_000088.jpg
images/frames/go2_short_frame_000132.jpg
images/pair_previews/go2_short_world_pair_000022.jpg
88
132
1,778,055,844.882205
1,778,055,847.944218
3.062014
{ "quat_xyzw": [ -0.013339, -0.005401, 0.922516, 0.38569 ], "x_m": -0.487534, "y_m": 7.621343, "yaw_rad": 2.349387, "z_m": 0.318288 }
{ "quat_xyzw": [ -0.024034, 0.003757, 0.89589, 0.443609 ], "x_m": -1.976885, "y_m": 8.611449, "yaw_rad": 2.221717, "z_m": 0.313457 }
{ "distance_m": 1.788428, "dx_body_m": 1.750797, "dx_world_m": -1.489351, "dy_body_m": 0.364946, "dy_world_m": 0.990106, "dyaw_rad": -0.127671 }
-0.004831
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000023
train
go2_short
images/frames/go2_short_frame_000092.jpg
images/frames/go2_short_frame_000135.jpg
images/pair_previews/go2_short_world_pair_000023.jpg
92
135
1,778,055,845.14271
1,778,055,848.155571
3.012861
{ "quat_xyzw": [ -0.021565, -0.011694, 0.952628, 0.303149 ], "x_m": -0.575451, "y_m": 7.703711, "yaw_rad": 2.52481, "z_m": 0.31465 }
{ "quat_xyzw": [ -0.018754, 0.000186, 0.805957, 0.591677 ], "x_m": -2.040017, "y_m": 8.709867, "yaw_rad": 1.874726, "z_m": 0.324119 }
{ "distance_m": 1.77688, "dx_body_m": 1.776685, "dx_world_m": -1.464566, "dy_body_m": 0.02636, "dy_world_m": 1.006156, "dyaw_rad": -0.650084 }
0.009469
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000024
train
go2_short
images/frames/go2_short_frame_000096.jpg
images/frames/go2_short_frame_000139.jpg
images/pair_previews/go2_short_world_pair_000024.jpg
96
139
1,778,055,845.423982
1,778,055,848.437493
3.013512
{ "quat_xyzw": [ -0.037324, -0.010389, 0.968869, 0.244526 ], "x_m": -0.704609, "y_m": 7.793417, "yaw_rad": 2.645857, "z_m": 0.309852 }
{ "quat_xyzw": [ -0.018534, 0.005104, 0.737344, 0.675244 ], "x_m": -2.068084, "y_m": 8.839838, "yaw_rad": 1.658364, "z_m": 0.316646 }
{ "distance_m": 1.718738, "dx_body_m": 1.697099, "dx_world_m": -1.363475, "dy_body_m": -0.271876, "dy_world_m": 1.046421, "dyaw_rad": -0.987494 }
0.006794
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000025
train
go2_short
images/frames/go2_short_frame_000100.jpg
images/frames/go2_short_frame_000143.jpg
images/pair_previews/go2_short_world_pair_000025.jpg
100
143
1,778,055,845.709272
1,778,055,848.721599
3.012327
{ "quat_xyzw": [ -0.021149, -0.021366, 0.971365, 0.235685 ], "x_m": -0.814832, "y_m": 7.848695, "yaw_rad": 2.664728, "z_m": 0.309255 }
{ "quat_xyzw": [ -0.008504, 0.010182, 0.730955, 0.682297 ], "x_m": -2.094322, "y_m": 9.011807, "yaw_rad": 1.639672, "z_m": 0.297752 }
{ "distance_m": 1.72914, "dx_body_m": 1.670612, "dx_world_m": -1.27949, "dy_body_m": -0.446073, "dy_world_m": 1.163112, "dyaw_rad": -1.025056 }
-0.011503
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000026
train
go2_short
images/frames/go2_short_frame_000104.jpg
images/frames/go2_short_frame_000147.jpg
images/pair_previews/go2_short_world_pair_000026.jpg
104
147
1,778,055,845.984003
1,778,055,848.998566
3.014563
{ "quat_xyzw": [ -0.022938, -0.015193, 0.972053, 0.233144 ], "x_m": -0.9413, "y_m": 7.91118, "yaw_rad": 2.670036, "z_m": 0.31101 }
{ "quat_xyzw": [ -0.018857, 0.020532, 0.712887, 0.700725 ], "x_m": -2.106058, "y_m": 9.103817, "yaw_rad": 1.588083, "z_m": 0.3133 }
{ "distance_m": 1.667047, "dx_body_m": 1.579422, "dx_world_m": -1.164758, "dy_body_m": -0.533357, "dy_world_m": 1.192637, "dyaw_rad": -1.081954 }
0.00229
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000027
train
go2_short
images/frames/go2_short_frame_000108.jpg
images/frames/go2_short_frame_000151.jpg
images/pair_previews/go2_short_world_pair_000027.jpg
108
151
1,778,055,846.267038
1,778,055,849.274213
3.007175
{ "quat_xyzw": [ -0.002176, -0.002135, 0.973203, 0.229929 ], "x_m": -1.073509, "y_m": 7.98288, "yaw_rad": 2.677573, "z_m": 0.313061 }
{ "quat_xyzw": [ -0.001075, -0.004421, 0.712182, 0.70198 ], "x_m": -2.122738, "y_m": 9.210837, "yaw_rad": 1.585242, "z_m": 0.308424 }
{ "distance_m": 1.615166, "dx_body_m": 1.487852, "dx_world_m": -1.049229, "dy_body_m": -0.628535, "dy_world_m": 1.227957, "dyaw_rad": -1.092331 }
-0.004637
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000028
train
go2_short
images/frames/go2_short_frame_000112.jpg
images/frames/go2_short_frame_000155.jpg
images/pair_previews/go2_short_world_pair_000028.jpg
112
155
1,778,055,846.547074
1,778,055,849.55601
3.008936
{ "quat_xyzw": [ -0.002725, -0.013636, 0.982269, 0.186962 ], "x_m": -1.232046, "y_m": 8.050762, "yaw_rad": 2.765415, "z_m": 0.316835 }
{ "quat_xyzw": [ 0.005011, -0.001653, 0.704712, 0.709474 ], "x_m": -2.130301, "y_m": 9.374946, "yaw_rad": 1.564039, "z_m": 0.305268 }
{ "distance_m": 1.600102, "dx_body_m": 1.321908, "dx_world_m": -0.898255, "dy_body_m": -0.901601, "dy_world_m": 1.324184, "dyaw_rad": -1.201376 }
-0.011567
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000029
train
go2_short
images/frames/go2_short_frame_000116.jpg
images/frames/go2_short_frame_000160.jpg
images/pair_previews/go2_short_world_pair_000029.jpg
116
160
1,778,055,846.838483
1,778,055,849.904483
3.066
{ "quat_xyzw": [ 0.010032, 0.006754, 0.98294, 0.183528 ], "x_m": -1.391665, "y_m": 8.114142, "yaw_rad": 2.772271, "z_m": 0.315123 }
{ "quat_xyzw": [ 0.002799, 0.0046, 0.673994, 0.738717 ], "x_m": -2.145206, "y_m": 9.479609, "yaw_rad": 1.479246, "z_m": 0.308538 }
{ "distance_m": 1.559591, "dx_body_m": 1.195642, "dx_world_m": -0.753541, "dy_body_m": -1.001381, "dy_world_m": 1.365467, "dyaw_rad": -1.293024 }
-0.006585
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000030
train
go2_short
images/frames/go2_short_frame_000120.jpg
images/frames/go2_short_frame_000163.jpg
images/pair_previews/go2_short_world_pair_000030.jpg
120
163
1,778,055,847.106483
1,778,055,850.118051
3.011568
{ "quat_xyzw": [ -0.010982, 0.003582, 0.973946, 0.226486 ], "x_m": -1.597732, "y_m": 8.20957, "yaw_rad": 2.684648, "z_m": 0.30999 }
{ "quat_xyzw": [ -0.005047, 0.00352, 0.676077, 0.736805 ], "x_m": -2.141173, "y_m": 9.564101, "yaw_rad": 1.484869, "z_m": 0.305131 }
{ "distance_m": 1.45948, "dx_body_m": 1.085317, "dx_world_m": -0.543441, "dy_body_m": -0.975792, "dy_world_m": 1.354531, "dyaw_rad": -1.199779 }
-0.004859
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000031
train
go2_short
images/frames/go2_short_frame_000124.jpg
images/frames/go2_short_frame_000167.jpg
images/pair_previews/go2_short_world_pair_000031.jpg
124
167
1,778,055,847.383474
1,778,055,850.393016
3.009542
{ "quat_xyzw": [ -0.013884, 0.03307, 0.909788, 0.413521 ], "x_m": -1.722049, "y_m": 8.291618, "yaw_rad": 2.289657, "z_m": 0.322982 }
{ "quat_xyzw": [ -0.022785, 0.01214, 0.623981, 0.781013 ], "x_m": -2.126016, "y_m": 9.701236, "yaw_rad": 1.347701, "z_m": 0.305972 }
{ "distance_m": 1.46636, "dx_body_m": 1.326841, "dx_world_m": -0.403967, "dy_body_m": -0.624264, "dy_world_m": 1.409618, "dyaw_rad": -0.941956 }
-0.01701
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000032
train
go2_short
images/frames/go2_short_frame_000128.jpg
images/frames/go2_short_frame_000171.jpg
images/pair_previews/go2_short_world_pair_000032.jpg
128
171
1,778,055,847.661474
1,778,055,850.676487
3.015013
{ "quat_xyzw": [ -0.000336, 0.017488, 0.910208, 0.413781 ], "x_m": -1.82425, "y_m": 8.415506, "yaw_rad": 2.288484, "z_m": 0.312141 }
{ "quat_xyzw": [ 0.010989, 0.001168, 0.624405, 0.781023 ], "x_m": -2.073153, "y_m": 9.914764, "yaw_rad": 1.348726, "z_m": 0.311243 }
{ "distance_m": 1.519779, "dx_body_m": 1.293123, "dx_world_m": -0.248903, "dy_body_m": -0.798473, "dy_world_m": 1.499258, "dyaw_rad": -0.939758 }
-0.000898
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000033
train
go2_short
images/frames/go2_short_frame_000132.jpg
images/frames/go2_short_frame_000175.jpg
images/pair_previews/go2_short_world_pair_000033.jpg
132
175
1,778,055,847.944218
1,778,055,850.954606
3.010387
{ "quat_xyzw": [ -0.024034, 0.003757, 0.89589, 0.443609 ], "x_m": -1.976885, "y_m": 8.611449, "yaw_rad": 2.221717, "z_m": 0.313457 }
{ "quat_xyzw": [ -0.003374, -0.010459, 0.624774, 0.780729 ], "x_m": -2.015753, "y_m": 10.159021, "yaw_rad": 1.349892, "z_m": 0.31343 }
{ "distance_m": 1.54806, "dx_body_m": 1.254685, "dx_world_m": -0.038868, "dy_body_m": -0.906783, "dy_world_m": 1.547572, "dyaw_rad": -0.871825 }
-0.000027
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000034
train
go2_short
images/frames/go2_short_frame_000136.jpg
images/frames/go2_short_frame_000179.jpg
images/pair_previews/go2_short_world_pair_000034.jpg
136
179
1,778,055,848.223072
1,778,055,851.240438
3.017366
{ "quat_xyzw": [ -0.008742, 0.005441, 0.77367, 0.633505 ], "x_m": -2.04442, "y_m": 8.733712, "yaw_rad": 1.769329, "z_m": 0.32328 }
{ "quat_xyzw": [ -0.011604, 0.009523, 0.626245, 0.779482 ], "x_m": -1.960258, "y_m": 10.400537, "yaw_rad": 1.353545, "z_m": 0.309057 }
{ "distance_m": 1.668948, "dx_body_m": 1.617484, "dx_world_m": 0.084162, "dy_body_m": -0.411258, "dy_world_m": 1.666825, "dyaw_rad": -0.415783 }
-0.014223
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000035
train
go2_short
images/frames/go2_short_frame_000140.jpg
images/frames/go2_short_frame_000183.jpg
images/pair_previews/go2_short_world_pair_000035.jpg
140
183
1,778,055,848.522301
1,778,055,851.525116
3.002815
{ "quat_xyzw": [ -0.016761, -0.003615, 0.737488, 0.675142 ], "x_m": -2.075103, "y_m": 8.878495, "yaw_rad": 1.65873, "z_m": 0.312917 }
{ "quat_xyzw": [ -0.073528, -0.037459, 0.717276, 0.691886 ], "x_m": -1.927312, "y_m": 10.619573, "yaw_rad": 1.602624, "z_m": 0.288708 }
{ "distance_m": 1.747339, "dx_body_m": 1.721372, "dx_world_m": 0.147791, "dy_body_m": -0.300122, "dy_world_m": 1.741078, "dyaw_rad": -0.056107 }
-0.024209
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000036
train
go2_short
images/frames/go2_short_frame_000144.jpg
images/frames/go2_short_frame_000187.jpg
images/pair_previews/go2_short_world_pair_000036.jpg
144
187
1,778,055,848.781935
1,778,055,851.804001
3.022066
{ "quat_xyzw": [ 0.001772, 0.012455, 0.722681, 0.691067 ], "x_m": -2.102801, "y_m": 9.036223, "yaw_rad": 1.615662, "z_m": 0.302081 }
{ "quat_xyzw": [ -0.050792, 0.000539, 0.718796, 0.693363 ], "x_m": -1.910255, "y_m": 10.746099, "yaw_rad": 1.60423, "z_m": 0.307391 }
{ "distance_m": 1.720683, "dx_body_m": 1.69952, "dx_world_m": 0.192546, "dy_body_m": -0.269041, "dy_world_m": 1.709876, "dyaw_rad": -0.011433 }
0.00531
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000037
train
go2_short
images/frames/go2_short_frame_000148.jpg
images/frames/go2_short_frame_000191.jpg
images/pair_previews/go2_short_world_pair_000037.jpg
148
191
1,778,055,849.061446
1,778,055,852.074384
3.012938
{ "quat_xyzw": [ -0.021366, 0.009136, 0.709561, 0.704261 ], "x_m": -2.110794, "y_m": 9.130602, "yaw_rad": 1.577924, "z_m": 0.310034 }
{ "quat_xyzw": [ 0.018094, -0.008305, 0.722643, 0.690935 ], "x_m": -1.906095, "y_m": 10.900192, "yaw_rad": 1.615406, "z_m": 0.315342 }
{ "distance_m": 1.78139, "dx_body_m": 1.768086, "dx_world_m": 0.204699, "dy_body_m": -0.217306, "dy_world_m": 1.76959, "dyaw_rad": 0.037483 }
0.005308
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000038
train
go2_short
images/frames/go2_short_frame_000152.jpg
images/frames/go2_short_frame_000195.jpg
images/pair_previews/go2_short_world_pair_000038.jpg
152
195
1,778,055,849.345166
1,778,055,852.358809
3.013643
{ "quat_xyzw": [ -0.006546, 0.000295, 0.71474, 0.699359 ], "x_m": -2.125517, "y_m": 9.244643, "yaw_rad": 1.592506, "z_m": 0.310447 }
{ "quat_xyzw": [ -0.007901, 0.013387, 0.722335, 0.691369 ], "x_m": -1.909598, "y_m": 11.10962, "yaw_rad": 1.614724, "z_m": 0.308507 }
{ "distance_m": 1.877434, "dx_body_m": 1.85985, "dx_world_m": 0.215919, "dy_body_m": -0.256353, "dy_world_m": 1.864977, "dyaw_rad": 0.022218 }
-0.00194
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000039
train
go2_short
images/frames/go2_short_frame_000156.jpg
images/frames/go2_short_frame_000199.jpg
images/pair_previews/go2_short_world_pair_000039.jpg
156
199
1,778,055,849.618925
1,778,055,852.639606
3.020681
{ "quat_xyzw": [ -0.000749, -0.001892, 0.694565, 0.719427 ], "x_m": -2.138873, "y_m": 9.394644, "yaw_rad": 1.535637, "z_m": 0.30961 }
{ "quat_xyzw": [ -0.009839, -0.010373, 0.723408, 0.690273 ], "x_m": -1.923239, "y_m": 11.433495, "yaw_rad": 1.617667, "z_m": 0.297633 }
{ "distance_m": 2.050222, "dx_body_m": 2.045171, "dx_world_m": 0.215634, "dy_body_m": -0.143831, "dy_world_m": 2.038851, "dyaw_rad": 0.08203 }
-0.011977
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000040
train
go2_short
images/frames/go2_short_frame_000160.jpg
images/frames/go2_short_frame_000203.jpg
images/pair_previews/go2_short_world_pair_000040.jpg
160
203
1,778,055,849.904483
1,778,055,852.920891
3.016408
{ "quat_xyzw": [ 0.002799, 0.0046, 0.673994, 0.738717 ], "x_m": -2.145206, "y_m": 9.479609, "yaw_rad": 1.479246, "z_m": 0.308538 }
{ "quat_xyzw": [ -0.019868, 0.000422, 0.725771, 0.687649 ], "x_m": -1.936717, "y_m": 11.620246, "yaw_rad": 1.624333, "z_m": 0.306402 }
{ "distance_m": 2.150766, "dx_body_m": 2.150733, "dx_world_m": 0.208489, "dy_body_m": -0.011914, "dy_world_m": 2.140637, "dyaw_rad": 0.145086 }
-0.002136
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000041
train
go2_short
images/frames/go2_short_frame_000164.jpg
images/frames/go2_short_frame_000207.jpg
images/pair_previews/go2_short_world_pair_000041.jpg
164
207
1,778,055,850.180949
1,778,055,853.205579
3.024629
{ "quat_xyzw": [ -0.005323, 0.010476, 0.658334, 0.752634 ], "x_m": -2.137814, "y_m": 9.615777, "yaw_rad": 1.437393, "z_m": 0.308364 }
{ "quat_xyzw": [ -0.005542, -0.013235, 0.681645, 0.731543 ], "x_m": -1.943115, "y_m": 11.865871, "yaw_rad": 1.500363, "z_m": 0.31997 }
{ "distance_m": 2.258502, "dx_body_m": 2.255998, "dx_world_m": 0.194699, "dy_body_m": 0.106311, "dy_world_m": 2.250094, "dyaw_rad": 0.06297 }
0.011606
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000042
train
go2_short
images/frames/go2_short_frame_000168.jpg
images/frames/go2_short_frame_000211.jpg
images/pair_previews/go2_short_world_pair_000042.jpg
168
211
1,778,055,850.470877
1,778,055,853.482447
3.01157
{ "quat_xyzw": [ -0.011357, 0.00759, 0.624262, 0.781095 ], "x_m": -2.111052, "y_m": 9.759335, "yaw_rad": 1.348414, "z_m": 0.30829 }
{ "quat_xyzw": [ -0.000332, -0.020434, 0.686716, 0.726638 ], "x_m": -1.941575, "y_m": 12.116413, "yaw_rad": 1.514736, "z_m": 0.319926 }
{ "distance_m": 2.363163, "dx_body_m": 2.336413, "dx_world_m": 0.169477, "dy_body_m": 0.354559, "dy_world_m": 2.357078, "dyaw_rad": 0.166322 }
0.011636
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000043
train
go2_short
images/frames/go2_short_frame_000172.jpg
images/frames/go2_short_frame_000215.jpg
images/pair_previews/go2_short_world_pair_000043.jpg
172
215
1,778,055,850.74731
1,778,055,853.765893
3.018584
{ "quat_xyzw": [ 0.011522, -0.00932, 0.624292, 0.78105 ], "x_m": -2.06242, "y_m": 9.961141, "yaw_rad": 1.348533, "z_m": 0.312578 }
{ "quat_xyzw": [ -0.011256, 0.004421, 0.690125, 0.72359 ], "x_m": -1.92434, "y_m": 12.371572, "yaw_rad": 1.523351, "z_m": 0.311189 }
{ "distance_m": 2.414383, "dx_body_m": 2.381575, "dx_world_m": 0.13808, "dy_body_m": 0.396667, "dy_world_m": 2.410431, "dyaw_rad": 0.174818 }
-0.001389
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000044
train
go2_short
images/frames/go2_short_frame_000176.jpg
images/frames/go2_short_frame_000219.jpg
images/pair_previews/go2_short_world_pair_000044.jpg
176
219
1,778,055,851.026151
1,778,055,854.036111
3.00996
{ "quat_xyzw": [ -0.002792, 0.006955, 0.626152, 0.779665 ], "x_m": -2.003119, "y_m": 10.213528, "yaw_rad": 1.353293, "z_m": 0.309483 }
{ "quat_xyzw": [ 0.004239, 0.007813, 0.695391, 0.718577 ], "x_m": -1.901713, "y_m": 12.67202, "yaw_rad": 1.538049, "z_m": 0.313294 }
{ "distance_m": 2.460582, "dx_body_m": 2.422451, "dx_world_m": 0.101406, "dy_body_m": 0.431508, "dy_world_m": 2.458492, "dyaw_rad": 0.184757 }
0.003811
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000045
train
go2_short
images/frames/go2_short_frame_000180.jpg
images/frames/go2_short_frame_000223.jpg
images/pair_previews/go2_short_world_pair_000045.jpg
180
223
1,778,055,851.306081
1,778,055,854.321082
3.015001
{ "quat_xyzw": [ -0.027404, 0.025174, 0.665087, 0.745838 ], "x_m": -1.927118, "y_m": 10.494721, "yaw_rad": 1.456181, "z_m": 0.300368 }
{ "quat_xyzw": [ -0.010124, -0.004415, 0.692969, 0.720883 ], "x_m": -1.885256, "y_m": 12.965704, "yaw_rad": 1.531236, "z_m": 0.298663 }
{ "distance_m": 2.471338, "dx_body_m": 2.459558, "dx_world_m": 0.041862, "dy_body_m": 0.241006, "dy_world_m": 2.470983, "dyaw_rad": 0.075055 }
-0.001705
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000046
train
go2_short
images/frames/go2_short_frame_000184.jpg
images/frames/go2_short_frame_000227.jpg
images/pair_previews/go2_short_world_pair_000046.jpg
184
227
1,778,055,851.584807
1,778,055,854.603016
3.018208
{ "quat_xyzw": [ -0.062923, -0.039247, 0.723112, 0.686739 ], "x_m": -1.927815, "y_m": 10.650508, "yaw_rad": 1.619712, "z_m": 0.295862 }
{ "quat_xyzw": [ -0.017191, -0.003909, 0.693403, 0.720335 ], "x_m": -1.868045, "y_m": 13.256392, "yaw_rad": 1.532427, "z_m": 0.315668 }
{ "distance_m": 2.606569, "dx_body_m": 2.599844, "dx_world_m": 0.05977, "dy_body_m": -0.187116, "dy_world_m": 2.605884, "dyaw_rad": -0.087285 }
0.019806
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000047
train
go2_short
images/frames/go2_short_frame_000188.jpg
images/frames/go2_short_frame_000231.jpg
images/pair_previews/go2_short_world_pair_000047.jpg
188
231
1,778,055,851.86759
1,778,055,854.874565
3.006974
{ "quat_xyzw": [ -0.045474, -0.001422, 0.719225, 0.693286 ], "x_m": -1.910933, "y_m": 10.768306, "yaw_rad": 1.605446, "z_m": 0.302943 }
{ "quat_xyzw": [ -0.003717, 0.001908, 0.699149, 0.714964 ], "x_m": -1.870674, "y_m": 13.488284, "yaw_rad": 1.54842, "z_m": 0.297778 }
{ "distance_m": 2.720276, "dx_body_m": 2.716951, "dx_world_m": 0.040259, "dy_body_m": -0.134463, "dy_world_m": 2.719978, "dyaw_rad": -0.057027 }
-0.005165
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000048
train
go2_short
images/frames/go2_short_frame_000192.jpg
images/frames/go2_short_frame_000235.jpg
images/pair_previews/go2_short_world_pair_000048.jpg
192
235
1,778,055,852.149423
1,778,055,855.161948
3.012525
{ "quat_xyzw": [ -0.021941, -0.010098, 0.718949, 0.694643 ], "x_m": -1.916786, "y_m": 10.926039, "yaw_rad": 1.604787, "z_m": 0.308989 }
{ "quat_xyzw": [ -0.008634, -0.000994, 0.701643, 0.712476 ], "x_m": -1.863039, "y_m": 13.677218, "yaw_rad": 1.555403, "z_m": 0.309527 }
{ "distance_m": 2.751704, "dx_body_m": 2.747763, "dx_world_m": 0.053747, "dy_body_m": -0.147213, "dy_world_m": 2.751179, "dyaw_rad": -0.049385 }
0.000538
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000049
train
go2_short
images/frames/go2_short_frame_000196.jpg
images/frames/go2_short_frame_000239.jpg
images/pair_previews/go2_short_world_pair_000049.jpg
196
239
1,778,055,852.431634
1,778,055,855.439574
3.00794
{ "quat_xyzw": [ -0.002634, 0.007644, 0.722579, 0.691242 ], "x_m": -1.913608, "y_m": 11.237041, "yaw_rad": 1.615173, "z_m": 0.314405 }
{ "quat_xyzw": [ -0.016543, -0.007276, 0.701133, 0.712801 ], "x_m": -1.863449, "y_m": 13.837663, "yaw_rad": 1.554075, "z_m": 0.311479 }
{ "distance_m": 2.601106, "dx_body_m": 2.595837, "dx_world_m": 0.050159, "dy_body_m": -0.165479, "dy_world_m": 2.600622, "dyaw_rad": -0.061098 }
-0.002926
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000050
train
go2_short
images/frames/go2_short_frame_000200.jpg
images/frames/go2_short_frame_000244.jpg
images/pair_previews/go2_short_world_pair_000050.jpg
200
244
1,778,055,852.725839
1,778,055,855.804603
3.078763
{ "quat_xyzw": [ -0.012324, -0.002141, 0.725789, 0.687804 ], "x_m": -1.925391, "y_m": 11.457834, "yaw_rad": 1.624376, "z_m": 0.307166 }
{ "quat_xyzw": [ 0.000556, -0.005707, 0.705471, 0.708715 ], "x_m": -1.857985, "y_m": 14.075191, "yaw_rad": 1.56624, "z_m": 0.3136 }
{ "distance_m": 2.618225, "dx_body_m": 2.609991, "dx_world_m": 0.067406, "dy_body_m": -0.20748, "dy_world_m": 2.617357, "dyaw_rad": -0.058136 }
0.006434
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000051
train
go2_short
images/frames/go2_short_frame_000204.jpg
images/frames/go2_short_frame_000247.jpg
images/pair_previews/go2_short_world_pair_000051.jpg
204
247
1,778,055,852.989535
1,778,055,855.997523
3.007988
{ "quat_xyzw": [ -0.013757, -0.010857, 0.727009, 0.686405 ], "x_m": -1.942512, "y_m": 11.677763, "yaw_rad": 1.628148, "z_m": 0.312865 }
{ "quat_xyzw": [ -0.00982, -0.005767, 0.688932, 0.724737 ], "x_m": -1.858672, "y_m": 14.189564, "yaw_rad": 1.520095, "z_m": 0.31537 }
{ "distance_m": 2.5132, "dx_body_m": 2.502865, "dx_world_m": 0.08384, "dy_body_m": -0.22768, "dy_world_m": 2.511801, "dyaw_rad": -0.108053 }
0.002505
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000052
train
go2_short
images/frames/go2_short_frame_000208.jpg
images/frames/go2_short_frame_000251.jpg
images/pair_previews/go2_short_world_pair_000052.jpg
208
251
1,778,055,853.272697
1,778,055,856.280344
3.007647
{ "quat_xyzw": [ -0.005629, -0.013328, 0.68522, 0.728193 ], "x_m": -1.940565, "y_m": 11.953121, "yaw_rad": 1.510163, "z_m": 0.321915 }
{ "quat_xyzw": [ -0.008115, -0.003628, 0.69228, 0.721574 ], "x_m": -1.852478, "y_m": 14.335539, "yaw_rad": 1.529313, "z_m": 0.307439 }
{ "distance_m": 2.384046, "dx_body_m": 2.383378, "dx_world_m": 0.088087, "dy_body_m": 0.05644, "dy_world_m": 2.382418, "dyaw_rad": 0.01915 }
-0.014476
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000053
train
go2_short
images/frames/go2_short_frame_000212.jpg
images/frames/go2_short_frame_000255.jpg
images/pair_previews/go2_short_world_pair_000053.jpg
212
255
1,778,055,853.547824
1,778,055,856.570277
3.022453
{ "quat_xyzw": [ 0.003482, 0.000925, 0.688671, 0.725065 ], "x_m": -1.940072, "y_m": 12.171939, "yaw_rad": 1.51931, "z_m": 0.314619 }
{ "quat_xyzw": [ -0.018979, -0.007665, 0.612759, 0.790004 ], "x_m": -1.844585, "y_m": 14.489936, "yaw_rad": 1.319199, "z_m": 0.315946 }
{ "distance_m": 2.319963, "dx_body_m": 2.319839, "dx_world_m": 0.095487, "dy_body_m": 0.023931, "dy_world_m": 2.317997, "dyaw_rad": -0.200111 }
0.001327
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000054
train
go2_short
images/frames/go2_short_frame_000216.jpg
images/frames/go2_short_frame_000259.jpg
images/pair_previews/go2_short_world_pair_000054.jpg
216
259
1,778,055,853.830406
1,778,055,856.841256
3.01085
{ "quat_xyzw": [ -0.015441, 0.006264, 0.689123, 0.724453 ], "x_m": -1.917704, "y_m": 12.430907, "yaw_rad": 1.520612, "z_m": 0.313557 }
{ "quat_xyzw": [ -0.024375, -0.004673, 0.567021, 0.823329 ], "x_m": -1.803788, "y_m": 14.60328, "yaw_rad": 1.20574, "z_m": 0.304947 }
{ "distance_m": 2.175358, "dx_body_m": 2.175352, "dx_world_m": 0.113916, "dy_body_m": -0.004799, "dy_world_m": 2.172373, "dyaw_rad": -0.314872 }
-0.00861
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000055
train
go2_short
images/frames/go2_short_frame_000220.jpg
images/frames/go2_short_frame_000263.jpg
images/pair_previews/go2_short_world_pair_000055.jpg
220
263
1,778,055,854.109073
1,778,055,857.121619
3.012546
{ "quat_xyzw": [ 0.006379, -0.006174, 0.694043, 0.719879 ], "x_m": -1.898208, "y_m": 12.734459, "yaw_rad": 1.53425, "z_m": 0.318229 }
{ "quat_xyzw": [ -0.006785, -0.00208, 0.56926, 0.822127 ], "x_m": -1.755328, "y_m": 14.727789, "yaw_rad": 1.211217, "z_m": 0.307787 }
{ "distance_m": 1.998444, "dx_body_m": 1.99722, "dx_world_m": 0.14288, "dy_body_m": -0.069952, "dy_world_m": 1.99333, "dyaw_rad": -0.323033 }
-0.010442
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000056
train
go2_short
images/frames/go2_short_frame_000224.jpg
images/frames/go2_short_frame_000267.jpg
images/pair_previews/go2_short_world_pair_000056.jpg
224
267
1,778,055,854.395618
1,778,055,857.402303
3.006685
{ "quat_xyzw": [ -0.000715, 0.001686, 0.696902, 0.717164 ], "x_m": -1.877031, "y_m": 13.049856, "yaw_rad": 1.542143, "z_m": 0.312362 }
{ "quat_xyzw": [ -0.015817, 0.000658, 0.572755, 0.819574 ], "x_m": -1.705482, "y_m": 14.870755, "yaw_rad": 1.219659, "z_m": 0.309364 }
{ "distance_m": 1.828962, "dx_body_m": 1.825066, "dx_world_m": 0.171549, "dy_body_m": -0.11931, "dy_world_m": 1.820899, "dyaw_rad": -0.322484 }
-0.002998
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000057
train
go2_short
images/frames/go2_short_frame_000228.jpg
images/frames/go2_short_frame_000271.jpg
images/pair_previews/go2_short_world_pair_000057.jpg
228
271
1,778,055,854.665136
1,778,055,857.68169
3.016554
{ "quat_xyzw": [ -0.012801, -0.006476, 0.695565, 0.71832 ], "x_m": -1.866433, "y_m": 13.332695, "yaw_rad": 1.538495, "z_m": 0.300828 }
{ "quat_xyzw": [ 0.000173, -0.006835, 0.574838, 0.818239 ], "x_m": -1.651398, "y_m": 15.003373, "yaw_rad": 1.224888, "z_m": 0.309808 }
{ "distance_m": 1.68446, "dx_body_m": 1.676751, "dx_world_m": 0.215035, "dy_body_m": -0.160967, "dy_world_m": 1.670678, "dyaw_rad": -0.313606 }
0.00898
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000058
train
go2_short
images/frames/go2_short_frame_000232.jpg
images/frames/go2_short_frame_000275.jpg
images/pair_previews/go2_short_world_pair_000058.jpg
232
275
1,778,055,854.950447
1,778,055,857.956907
3.006459
{ "quat_xyzw": [ -0.005888, -0.00459, 0.699323, 0.714767 ], "x_m": -1.876205, "y_m": 13.526413, "yaw_rad": 1.548942, "z_m": 0.309338 }
{ "quat_xyzw": [ -0.009481, -0.012399, 0.577767, 0.816053 ], "x_m": -1.598959, "y_m": 15.16496, "yaw_rad": 1.232291, "z_m": 0.312611 }
{ "distance_m": 1.661837, "dx_body_m": 1.644214, "dx_world_m": 0.277246, "dy_body_m": -0.241373, "dy_world_m": 1.638547, "dyaw_rad": -0.316651 }
0.003273
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000059
train
go2_short
images/frames/go2_short_frame_000236.jpg
images/frames/go2_short_frame_000279.jpg
images/pair_previews/go2_short_world_pair_000059.jpg
236
279
1,778,055,855.232689
1,778,055,858.238338
3.005649
{ "quat_xyzw": [ -0.002931, 0.002748, 0.701772, 0.71239 ], "x_m": -1.862577, "y_m": 13.704196, "yaw_rad": 1.555778, "z_m": 0.314573 }
{ "quat_xyzw": [ -0.012925, -0.005106, 0.524791, 0.851118 ], "x_m": -1.529881, "y_m": 15.33332, "yaw_rad": 1.104992, "z_m": 0.312385 }
{ "distance_m": 1.662748, "dx_body_m": 1.633937, "dx_world_m": 0.332696, "dy_body_m": -0.308193, "dy_world_m": 1.629124, "dyaw_rad": -0.450787 }
-0.002188
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000060
train
go2_short
images/frames/go2_short_frame_000240.jpg
images/frames/go2_short_frame_000283.jpg
images/pair_previews/go2_short_world_pair_000060.jpg
240
283
1,778,055,855.512255
1,778,055,858.515618
3.003363
{ "quat_xyzw": [ -0.0149, -0.007438, 0.701896, 0.712085 ], "x_m": -1.864502, "y_m": 13.904775, "yaw_rad": 1.556222, "z_m": 0.314089 }
{ "quat_xyzw": [ -0.009215, 0.007832, 0.364675, 0.931057 ], "x_m": -1.461765, "y_m": 15.422637, "yaw_rad": 0.746503, "z_m": 0.313568 }
{ "distance_m": 1.570383, "dx_body_m": 1.52357, "dx_world_m": 0.402737, "dy_body_m": -0.380573, "dy_world_m": 1.517862, "dyaw_rad": -0.809719 }
-0.000521
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000061
train
go2_short
images/frames/go2_short_frame_000244.jpg
images/frames/go2_short_frame_000287.jpg
images/pair_previews/go2_short_world_pair_000061.jpg
244
287
1,778,055,855.804603
1,778,055,858.804759
3.000156
{ "quat_xyzw": [ 0.000556, -0.005707, 0.705471, 0.708715 ], "x_m": -1.857985, "y_m": 14.075191, "yaw_rad": 1.56624, "z_m": 0.3136 }
{ "quat_xyzw": [ 0.014228, 0.003888, 0.246855, 0.96894 ], "x_m": -1.367541, "y_m": 15.481272, "yaw_rad": 0.49893, "z_m": 0.315627 }
{ "distance_m": 1.489161, "dx_body_m": 1.408301, "dx_world_m": 0.490444, "dy_body_m": -0.484032, "dy_world_m": 1.406081, "dyaw_rad": -1.06731 }
0.002027
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000062
train
go2_short
images/frames/go2_short_frame_000248.jpg
images/frames/go2_short_frame_000291.jpg
images/pair_previews/go2_short_world_pair_000062.jpg
248
291
1,778,055,856.075745
1,778,055,859.088941
3.013196
{ "quat_xyzw": [ -0.01161, -0.00474, 0.688993, 0.72466 ], "x_m": -1.8576, "y_m": 14.214321, "yaw_rad": 1.52024, "z_m": 0.315838 }
{ "quat_xyzw": [ -0.005253, -0.004065, 0.253713, 0.967257 ], "x_m": -1.214509, "y_m": 15.5597, "yaw_rad": 0.513077, "z_m": 0.305573 }
{ "distance_m": 1.491178, "dx_body_m": 1.376158, "dx_world_m": 0.643091, "dy_body_m": -0.574281, "dy_world_m": 1.345379, "dyaw_rad": -1.007163 }
-0.010265
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000063
train
go2_short
images/frames/go2_short_frame_000252.jpg
images/frames/go2_short_frame_000295.jpg
images/pair_previews/go2_short_world_pair_000063.jpg
252
295
1,778,055,856.350882
1,778,055,859.359985
3.009103
{ "quat_xyzw": [ -0.003916, -0.002421, 0.693828, 0.720126 ], "x_m": -1.85092, "y_m": 14.362926, "yaw_rad": 1.533594, "z_m": 0.311603 }
{ "quat_xyzw": [ -0.014269, -0.004206, 0.254501, 0.966958 ], "x_m": -1.113538, "y_m": 15.617929, "yaw_rad": 0.514735, "z_m": 0.30933 }
{ "distance_m": 1.455598, "dx_body_m": 1.281561, "dx_world_m": 0.737382, "dy_body_m": -0.690194, "dy_world_m": 1.255003, "dyaw_rad": -1.018859 }
-0.002273
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000064
train
go2_short
images/frames/go2_short_frame_000256.jpg
images/frames/go2_short_frame_000300.jpg
images/pair_previews/go2_short_world_pair_000064.jpg
256
300
1,778,055,856.634028
1,778,055,859.715947
3.081918
{ "quat_xyzw": [ -0.020276, -0.008007, 0.586073, 0.809965 ], "x_m": -1.838365, "y_m": 14.508684, "yaw_rad": 1.252523, "z_m": 0.315244 }
{ "quat_xyzw": [ -0.005668, 0.002733, 0.088711, 0.996038 ], "x_m": -0.954973, "y_m": 15.684156, "yaw_rad": 0.177624, "z_m": 0.308661 }
{ "distance_m": 1.470413, "dx_body_m": 1.392874, "dx_world_m": 0.883392, "dy_body_m": -0.471189, "dy_world_m": 1.175472, "dyaw_rad": -1.074899 }
-0.006583
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000065
train
go2_short
images/frames/go2_short_frame_000260.jpg
images/frames/go2_short_frame_000303.jpg
images/pair_previews/go2_short_world_pair_000065.jpg
260
303
1,778,055,856.910231
1,778,055,859.91656
3.006329
{ "quat_xyzw": [ -0.015765, 0.004327, 0.568475, 0.822538 ], "x_m": -1.795482, "y_m": 14.624775, "yaw_rad": 1.209223, "z_m": 0.306465 }
{ "quat_xyzw": [ 0.006785, 0.000921, 0.05487, 0.99847 ], "x_m": -0.860107, "y_m": 15.685511, "yaw_rad": 0.109805, "z_m": 0.310919 }
{ "distance_m": 1.414244, "dx_body_m": 1.323036, "dx_world_m": 0.935375, "dy_body_m": -0.499664, "dy_world_m": 1.060736, "dyaw_rad": -1.099418 }
0.004454
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000066
train
go2_short
images/frames/go2_short_frame_000264.jpg
images/frames/go2_short_frame_000307.jpg
images/pair_previews/go2_short_world_pair_000066.jpg
264
307
1,778,055,857.191921
1,778,055,860.19927
3.007349
{ "quat_xyzw": [ -0.017467, -0.00951, 0.567544, 0.823103 ], "x_m": -1.748695, "y_m": 14.7563, "yaw_rad": 1.20723, "z_m": 0.311752 }
{ "quat_xyzw": [ 0.002376, -0.003663, 0.053898, 0.998537 ], "x_m": -0.725978, "y_m": 15.707528, "yaw_rad": 0.107833, "z_m": 0.313307 }
{ "distance_m": 1.396705, "dx_body_m": 1.252739, "dx_world_m": 1.022717, "dy_body_m": -0.617601, "dy_world_m": 0.951228, "dyaw_rad": -1.099397 }
0.001555
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000067
train
go2_short
images/frames/go2_short_frame_000268.jpg
images/frames/go2_short_frame_000311.jpg
images/pair_previews/go2_short_world_pair_000067.jpg
268
311
1,778,055,857.473185
1,778,055,860.485721
3.012536
{ "quat_xyzw": [ -0.009575, -0.004695, 0.574852, 0.818188 ], "x_m": -1.68213, "y_m": 14.922391, "yaw_rad": 1.224891, "z_m": 0.307191 }
{ "quat_xyzw": [ -0.003437, -0.009735, 0.065411, 0.997805 ], "x_m": -0.538474, "y_m": 15.735376, "yaw_rad": 0.131, "z_m": 0.310048 }
{ "distance_m": 1.403173, "dx_body_m": 1.152586, "dx_world_m": 1.143656, "dy_body_m": -0.800275, "dy_world_m": 0.812985, "dyaw_rad": -1.093892 }
0.002857
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000068
train
go2_short
images/frames/go2_short_frame_000272.jpg
images/frames/go2_short_frame_000315.jpg
images/pair_previews/go2_short_world_pair_000068.jpg
272
315
1,778,055,857.754484
1,778,055,860.761483
3.006999
{ "quat_xyzw": [ -0.015665, -0.005987, 0.574288, 0.818482 ], "x_m": -1.626447, "y_m": 15.071008, "yaw_rad": 1.223533, "z_m": 0.311983 }
{ "quat_xyzw": [ -0.01277, -0.002345, 0.050709, 0.998629 ], "x_m": -0.393842, "y_m": 15.755318, "yaw_rad": 0.101514, "z_m": 0.311212 }
{ "distance_m": 1.409821, "dx_body_m": 1.06295, "dx_world_m": 1.232605, "dy_body_m": -0.926139, "dy_world_m": 0.68431, "dyaw_rad": -1.122019 }
-0.000771
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000069
train
go2_short
images/frames/go2_short_frame_000276.jpg
images/frames/go2_short_frame_000319.jpg
images/pair_previews/go2_short_world_pair_000069.jpg
276
319
1,778,055,858.029014
1,778,055,861.0331
3.004086
{ "quat_xyzw": [ -0.014013, -0.008366, 0.580311, 0.814231 ], "x_m": -1.573153, "y_m": 15.231896, "yaw_rad": 1.238368, "z_m": 0.30551 }
{ "quat_xyzw": [ -0.007107, 0.000107, -0.07146, 0.997418 ], "x_m": -0.268851, "y_m": 15.755497, "yaw_rad": -0.14304, "z_m": 0.305268 }
{ "distance_m": 1.405476, "dx_body_m": 0.920581, "dx_world_m": 1.304302, "dy_body_m": -1.062023, "dy_world_m": 0.523601, "dyaw_rad": -1.381408 }
-0.000242
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000070
train
go2_short
images/frames/go2_short_frame_000280.jpg
images/frames/go2_short_frame_000323.jpg
images/pair_previews/go2_short_world_pair_000070.jpg
280
323
1,778,055,858.307888
1,778,055,861.319608
3.01172
{ "quat_xyzw": [ -0.003872, -0.012526, 0.500771, 0.86548 ], "x_m": -1.515887, "y_m": 15.356278, "yaw_rad": 1.049249, "z_m": 0.315725 }
{ "quat_xyzw": [ 0.014727, -0.011435, -0.092138, 0.995572 ], "x_m": -0.15829, "y_m": 15.719107, "yaw_rad": -0.184885, "z_m": 0.30764 }
{ "distance_m": 1.405245, "dx_body_m": 0.990976, "dx_world_m": 1.357597, "dy_body_m": -0.996334, "dy_world_m": 0.362829, "dyaw_rad": -1.234134 }
-0.008085
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000071
train
go2_short
images/frames/go2_short_frame_000284.jpg
images/frames/go2_short_frame_000327.jpg
images/pair_previews/go2_short_world_pair_000071.jpg
284
327
1,778,055,858.587842
1,778,055,861.597054
3.009212
{ "quat_xyzw": [ -0.013832, -0.000945, 0.323149, 0.946247 ], "x_m": -1.440176, "y_m": 15.441935, "yaw_rad": 0.65808, "z_m": 0.308907 }
{ "quat_xyzw": [ -0.024952, -0.004498, 0.052088, 0.998321 ], "x_m": 0.002286, "y_m": 15.707323, "yaw_rad": 0.104417, "z_m": 0.317639 }
{ "distance_m": 1.466672, "dx_body_m": 1.303541, "dx_world_m": 1.442462, "dy_body_m": -0.672242, "dy_world_m": 0.265388, "dyaw_rad": -0.553663 }
0.008732
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000072
train
go2_short
images/frames/go2_short_frame_000288.jpg
images/frames/go2_short_frame_000331.jpg
images/pair_previews/go2_short_world_pair_000072.jpg
288
331
1,778,055,858.869347
1,778,055,861.877201
3.007855
{ "quat_xyzw": [ 0.004919, 0.01007, 0.250258, 0.968114 ], "x_m": -1.34364, "y_m": 15.490483, "yaw_rad": 0.50605, "z_m": 0.312932 }
{ "quat_xyzw": [ -0.024799, -0.005063, 0.067776, 0.99738 ], "x_m": 0.135031, "y_m": 15.726031, "yaw_rad": 0.135869, "z_m": 0.310913 }
{ "distance_m": 1.497315, "dx_body_m": 1.40752, "dx_world_m": 1.478671, "dy_body_m": -0.510724, "dy_world_m": 0.235548, "dyaw_rad": -0.370181 }
-0.002019
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000073
train
go2_short
images/frames/go2_short_frame_000292.jpg
images/frames/go2_short_frame_000335.jpg
images/pair_previews/go2_short_world_pair_000073.jpg
292
335
1,778,055,859.153141
1,778,055,862.161916
3.008775
{ "quat_xyzw": [ 0.002027, -0.001115, 0.255344, 0.966848 ], "x_m": -1.191264, "y_m": 15.569919, "yaw_rad": 0.516403, "z_m": 0.308281 }
{ "quat_xyzw": [ -0.019642, -0.009531, 0.10136, 0.99461 ], "x_m": 0.258196, "y_m": 15.759976, "yaw_rad": 0.203425, "z_m": 0.311534 }
{ "distance_m": 1.461867, "dx_body_m": 1.354293, "dx_world_m": 1.44946, "dy_body_m": -0.550405, "dy_world_m": 0.190057, "dyaw_rad": -0.312979 }
0.003253
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000074
train
go2_short
images/frames/go2_short_frame_000296.jpg
images/frames/go2_short_frame_000339.jpg
images/pair_previews/go2_short_world_pair_000074.jpg
296
339
1,778,055,859.435801
1,778,055,862.438327
3.002527
{ "quat_xyzw": [ -0.022913, -0.008333, 0.229088, 0.9731 ], "x_m": -1.066833, "y_m": 15.646992, "yaw_rad": 0.46256, "z_m": 0.310677 }
{ "quat_xyzw": [ -0.012577, -0.006919, 0.069372, 0.997488 ], "x_m": 0.383262, "y_m": 15.777787, "yaw_rad": 0.139027, "z_m": 0.314411 }
{ "distance_m": 1.455982, "dx_body_m": 1.356075, "dx_world_m": 1.450095, "dy_body_m": -0.530041, "dy_world_m": 0.130795, "dyaw_rad": -0.323533 }
0.003734
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000075
train
go2_short
images/frames/go2_short_frame_000300.jpg
images/frames/go2_short_frame_000343.jpg
images/pair_previews/go2_short_world_pair_000075.jpg
300
343
1,778,055,859.715947
1,778,055,862.723616
3.007669
{ "quat_xyzw": [ -0.005668, 0.002733, 0.088711, 0.996038 ], "x_m": -0.954973, "y_m": 15.684156, "yaw_rad": 0.177624, "z_m": 0.308661 }
{ "quat_xyzw": [ -0.011326, 0.005061, 0.063485, 0.997906 ], "x_m": 0.520027, "y_m": 15.795618, "yaw_rad": 0.126939, "z_m": 0.314015 }
{ "distance_m": 1.479205, "dx_body_m": 1.471487, "dx_world_m": 1.475, "dy_body_m": -0.150912, "dy_world_m": 0.111462, "dyaw_rad": -0.050686 }
0.005354
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000076
train
go2_short
images/frames/go2_short_frame_000304.jpg
images/frames/go2_short_frame_000347.jpg
images/pair_previews/go2_short_world_pair_000076.jpg
304
347
1,778,055,859.988761
1,778,055,862.996788
3.008027
{ "quat_xyzw": [ 0.015251, -0.003276, 0.054849, 0.998373 ], "x_m": -0.835096, "y_m": 15.687392, "yaw_rad": 0.109643, "z_m": 0.310118 }
{ "quat_xyzw": [ -0.00831, -0.006965, 0.066226, 0.997746 ], "x_m": 0.750856, "y_m": 15.821011, "yaw_rad": 0.132669, "z_m": 0.313601 }
{ "distance_m": 1.591571, "dx_body_m": 1.59105, "dx_world_m": 1.585952, "dy_body_m": -0.040723, "dy_world_m": 0.133619, "dyaw_rad": 0.023026 }
0.003483
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000077
train
go2_short
images/frames/go2_short_frame_000308.jpg
images/frames/go2_short_frame_000351.jpg
images/pair_previews/go2_short_world_pair_000077.jpg
308
351
1,778,055,860.269743
1,778,055,863.279301
3.009558
{ "quat_xyzw": [ -0.011775, -0.016019, 0.05558, 0.998256 ], "x_m": -0.664193, "y_m": 15.72121, "yaw_rad": 0.111627, "z_m": 0.31151 }
{ "quat_xyzw": [ -0.003442, 0.009498, 0.071003, 0.997425 ], "x_m": 0.974476, "y_m": 15.84808, "yaw_rad": 0.142079, "z_m": 0.311768 }
{ "distance_m": 1.643573, "dx_body_m": 1.642603, "dx_world_m": 1.638669, "dy_body_m": -0.05646, "dy_world_m": 0.12687, "dyaw_rad": 0.030452 }
0.000258
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000078
train
go2_short
images/frames/go2_short_frame_000312.jpg
images/frames/go2_short_frame_000355.jpg
images/pair_previews/go2_short_world_pair_000078.jpg
312
355
1,778,055,860.549365
1,778,055,863.564783
3.015418
{ "quat_xyzw": [ -0.001436, -0.0111, 0.063958, 0.99789 ], "x_m": -0.510599, "y_m": 15.73844, "yaw_rad": 0.128059, "z_m": 0.309469 }
{ "quat_xyzw": [ -0.012896, 0.002794, 0.067141, 0.997656 ], "x_m": 1.235982, "y_m": 15.880394, "yaw_rad": 0.134302, "z_m": 0.313755 }
{ "distance_m": 1.75234, "dx_body_m": 1.750408, "dx_world_m": 1.746581, "dy_body_m": -0.082262, "dy_world_m": 0.141954, "dyaw_rad": 0.006244 }
0.004286
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000079
train
go2_short
images/frames/go2_short_frame_000316.jpg
images/frames/go2_short_frame_000359.jpg
images/pair_previews/go2_short_world_pair_000079.jpg
316
359
1,778,055,860.826457
1,778,055,863.845073
3.018617
{ "quat_xyzw": [ -0.011431, -0.000254, 0.035062, 0.99932 ], "x_m": -0.370819, "y_m": 15.758872, "yaw_rad": 0.07014, "z_m": 0.312693 }
{ "quat_xyzw": [ -0.000232, -0.006693, 0.075958, 0.997089 ], "x_m": 1.540302, "y_m": 15.912364, "yaw_rad": 0.152076, "z_m": 0.304376 }
{ "distance_m": 1.917275, "dx_body_m": 1.917179, "dx_world_m": 1.911121, "dy_body_m": 0.019179, "dy_world_m": 0.153492, "dyaw_rad": 0.081936 }
-0.008317
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000080
train
go2_short
images/frames/go2_short_frame_000320.jpg
images/frames/go2_short_frame_000363.jpg
images/pair_previews/go2_short_world_pair_000080.jpg
320
363
1,778,055,861.106939
1,778,055,864.12855
3.021611
{ "quat_xyzw": [ -0.004693, -0.002974, -0.087882, 0.996115 ], "x_m": -0.242109, "y_m": 15.747494, "yaw_rad": -0.175964, "z_m": 0.303524 }
{ "quat_xyzw": [ -0.009363, -0.002361, 0.074303, 0.997189 ], "x_m": 1.820198, "y_m": 15.956674, "yaw_rad": 0.148782, "z_m": 0.319588 }
{ "distance_m": 2.072888, "dx_body_m": 1.993843, "dx_world_m": 2.062307, "dy_body_m": 0.566972, "dy_world_m": 0.20918, "dyaw_rad": 0.324745 }
0.016064
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000081
train
go2_short
images/frames/go2_short_frame_000324.jpg
images/frames/go2_short_frame_000367.jpg
images/pair_previews/go2_short_world_pair_000081.jpg
324
367
1,778,055,861.399401
1,778,055,864.405009
3.005608
{ "quat_xyzw": [ -0.007653, -0.007389, -0.074137, 0.997191 ], "x_m": -0.105693, "y_m": 15.712877, "yaw_rad": -0.148306, "z_m": 0.311654 }
{ "quat_xyzw": [ -0.015084, 0.005848, 0.080411, 0.996631 ], "x_m": 2.070698, "y_m": 15.992105, "yaw_rad": 0.160812, "z_m": 0.309165 }
{ "distance_m": 2.19423, "dx_body_m": 2.111241, "dx_world_m": 2.176391, "dy_body_m": 0.597753, "dy_world_m": 0.279228, "dyaw_rad": 0.309118 }
-0.002489
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000082
train
go2_short
images/frames/go2_short_frame_000328.jpg
images/frames/go2_short_frame_000371.jpg
images/pair_previews/go2_short_world_pair_000082.jpg
328
371
1,778,055,861.675053
1,778,055,864.687065
3.012012
{ "quat_xyzw": [ -0.027737, -0.00471, 0.058405, 0.997896 ], "x_m": 0.025537, "y_m": 15.711694, "yaw_rad": 0.117095, "z_m": 0.319666 }
{ "quat_xyzw": [ -0.007125, -0.000224, 0.083464, 0.996485 ], "x_m": 2.299463, "y_m": 16.041582, "yaw_rad": 0.167121, "z_m": 0.312238 }
{ "distance_m": 2.297731, "dx_body_m": 2.296895, "dx_world_m": 2.273926, "dy_body_m": 0.061971, "dy_world_m": 0.329888, "dyaw_rad": 0.050026 }
-0.007428
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000083
train
go2_short
images/frames/go2_short_frame_000332.jpg
images/frames/go2_short_frame_000375.jpg
images/pair_previews/go2_short_world_pair_000083.jpg
332
375
1,778,055,861.947456
1,778,055,864.960644
3.013188
{ "quat_xyzw": [ -0.021915, 0.00517, 0.081054, 0.996455 ], "x_m": 0.162191, "y_m": 15.73207, "yaw_rad": 0.16203, "z_m": 0.311857 }
{ "quat_xyzw": [ 0.004242, -0.001104, 0.090264, 0.995908 ], "x_m": 2.469341, "y_m": 16.057789, "yaw_rad": 0.180764, "z_m": 0.315135 }
{ "distance_m": 2.330029, "dx_body_m": 2.329476, "dx_world_m": 2.30715, "dy_body_m": -0.050742, "dy_world_m": 0.325719, "dyaw_rad": 0.018733 }
0.003278
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000084
train
go2_short
images/frames/go2_short_frame_000336.jpg
images/frames/go2_short_frame_000379.jpg
images/pair_previews/go2_short_world_pair_000084.jpg
336
379
1,778,055,862.229923
1,778,055,865.241261
3.011338
{ "quat_xyzw": [ -0.003784, 0.003869, 0.106669, 0.99428 ], "x_m": 0.288935, "y_m": 15.763023, "yaw_rad": 0.213719, "z_m": 0.307746 }
{ "quat_xyzw": [ -0.008261, -0.00149, 0.034528, 0.999369 ], "x_m": 2.623776, "y_m": 16.086443, "yaw_rad": 0.069092, "z_m": 0.313831 }
{ "distance_m": 2.357134, "dx_body_m": 2.350317, "dx_world_m": 2.334841, "dy_body_m": -0.179149, "dy_world_m": 0.32342, "dyaw_rad": -0.144627 }
0.006085
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000085
train
go2_short
images/frames/go2_short_frame_000340.jpg
images/frames/go2_short_frame_000383.jpg
images/pair_previews/go2_short_world_pair_000085.jpg
340
383
1,778,055,862.506003
1,778,055,865.543916
3.037913
{ "quat_xyzw": [ -0.014871, -0.001545, 0.061268, 0.998009 ], "x_m": 0.412065, "y_m": 15.780437, "yaw_rad": 0.122645, "z_m": 0.313331 }
{ "quat_xyzw": [ -0.000317, 0.001727, -0.020134, 0.999796 ], "x_m": 2.772416, "y_m": 16.084351, "yaw_rad": -0.040272, "z_m": 0.303404 }
{ "distance_m": 2.379836, "dx_body_m": 2.379801, "dx_world_m": 2.360351, "dy_body_m": 0.01287, "dy_world_m": 0.303914, "dyaw_rad": -0.162917 }
-0.009927
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000086
train
go2_short
images/frames/go2_short_frame_000344.jpg
images/frames/go2_short_frame_000387.jpg
images/pair_previews/go2_short_world_pair_000086.jpg
344
387
1,778,055,862.788195
1,778,055,865.805753
3.017558
{ "quat_xyzw": [ -0.010456, 0.0015, 0.064772, 0.997844 ], "x_m": 0.591103, "y_m": 15.805657, "yaw_rad": 0.129597, "z_m": 0.308928 }
{ "quat_xyzw": [ -0.019104, -0.001695, -0.055481, 0.998276 ], "x_m": 2.902247, "y_m": 16.081507, "yaw_rad": -0.110935, "z_m": 0.305156 }
{ "distance_m": 2.327548, "dx_body_m": 2.327412, "dx_world_m": 2.311144, "dy_body_m": -0.025143, "dy_world_m": 0.27585, "dyaw_rad": -0.240532 }
-0.003772
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000087
train
go2_short
images/frames/go2_short_frame_000348.jpg
images/frames/go2_short_frame_000391.jpg
images/pair_previews/go2_short_world_pair_000087.jpg
348
391
1,778,055,863.065924
1,778,055,866.081246
3.015322
{ "quat_xyzw": [ -0.006876, 0.009731, 0.063694, 0.997898 ], "x_m": 0.787435, "y_m": 15.821644, "yaw_rad": 0.127357, "z_m": 0.313378 }
{ "quat_xyzw": [ -0.010282, -0.000885, -0.195385, 0.980673 ], "x_m": 3.01372, "y_m": 16.058704, "yaw_rad": -0.393264, "z_m": 0.307496 }
{ "distance_m": 2.238871, "dx_body_m": 2.238364, "dx_world_m": 2.226285, "dy_body_m": -0.047626, "dy_world_m": 0.23706, "dyaw_rad": -0.520621 }
-0.005882
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000088
train
go2_short
images/frames/go2_short_frame_000352.jpg
images/frames/go2_short_frame_000395.jpg
images/pair_previews/go2_short_world_pair_000088.jpg
352
395
1,778,055,863.354733
1,778,055,866.360998
3.006266
{ "quat_xyzw": [ -0.001025, 0.005493, 0.070834, 0.997473 ], "x_m": 1.025211, "y_m": 15.85418, "yaw_rad": 0.141782, "z_m": 0.315699 }
{ "quat_xyzw": [ 0.012334, -0.021136, -0.250105, 0.96791 ], "x_m": 3.126209, "y_m": 15.983533, "yaw_rad": -0.506332, "z_m": 0.307063 }
{ "distance_m": 2.104976, "dx_body_m": 2.098195, "dx_world_m": 2.100998, "dy_body_m": -0.168832, "dy_world_m": 0.129353, "dyaw_rad": -0.648114 }
-0.008636
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000089
train
go2_short
images/frames/go2_short_frame_000356.jpg
images/frames/go2_short_frame_000399.jpg
images/pair_previews/go2_short_world_pair_000089.jpg
356
399
1,778,055,863.630353
1,778,055,866.636287
3.005934
{ "quat_xyzw": [ -0.011987, -0.009994, 0.070167, 0.997413 ], "x_m": 1.304021, "y_m": 15.890877, "yaw_rad": 0.140698, "z_m": 0.305943 }
{ "quat_xyzw": [ -0.020176, -0.015632, -0.251155, 0.967611 ], "x_m": 3.255371, "y_m": 15.929227, "yaw_rad": -0.507285, "z_m": 0.310629 }
{ "distance_m": 1.951727, "dx_body_m": 1.937446, "dx_world_m": 1.95135, "dy_body_m": -0.235674, "dy_world_m": 0.03835, "dyaw_rad": -0.647983 }
0.004686
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000090
train
go2_short
images/frames/go2_short_frame_000360.jpg
images/frames/go2_short_frame_000403.jpg
images/pair_previews/go2_short_world_pair_000090.jpg
360
403
1,778,055,863.910336
1,778,055,866.917678
3.007342
{ "quat_xyzw": [ -0.016581, 0.008909, 0.067651, 0.997532 ], "x_m": 1.59871, "y_m": 15.925769, "yaw_rad": 0.13511, "z_m": 0.315184 }
{ "quat_xyzw": [ -0.008375, -0.011073, -0.322065, 0.946616 ], "x_m": 3.355413, "y_m": 15.857918, "yaw_rad": -0.65577, "z_m": 0.315838 }
{ "distance_m": 1.758013, "dx_body_m": 1.731554, "dx_world_m": 1.756703, "dy_body_m": -0.30386, "dy_world_m": -0.067851, "dyaw_rad": -0.790881 }
0.000654
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000091
train
go2_short
images/frames/go2_short_frame_000364.jpg
images/frames/go2_short_frame_000407.jpg
images/pair_previews/go2_short_world_pair_000091.jpg
364
407
1,778,055,864.192504
1,778,055,867.195898
3.003393
{ "quat_xyzw": [ -0.004976, 0.005891, 0.075617, 0.997107 ], "x_m": 1.863729, "y_m": 15.961908, "yaw_rad": 0.151327, "z_m": 0.308752 }
{ "quat_xyzw": [ -0.00776, 0.003723, -0.490407, 0.871451 ], "x_m": 3.432186, "y_m": 15.777441, "yaw_rad": -1.025145, "z_m": 0.317233 }
{ "distance_m": 1.579267, "dx_body_m": 1.522724, "dx_world_m": 1.568457, "dy_body_m": -0.418803, "dy_world_m": -0.184467, "dyaw_rad": -1.176472 }
0.008481
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000092
train
go2_short
images/frames/go2_short_frame_000368.jpg
images/frames/go2_short_frame_000411.jpg
images/pair_previews/go2_short_world_pair_000092.jpg
368
411
1,778,055,864.470262
1,778,055,867.477724
3.007462
{ "quat_xyzw": [ -0.017149, 0.008778, 0.080262, 0.996588 ], "x_m": 2.122917, "y_m": 16.005146, "yaw_rad": 0.160395, "z_m": 0.310614 }
{ "quat_xyzw": [ 0.012884, 0.009298, -0.521064, 0.85337 ], "x_m": 3.499557, "y_m": 15.650432, "yaw_rad": -1.096168, "z_m": 0.305574 }
{ "distance_m": 1.421605, "dx_body_m": 1.302319, "dx_world_m": 1.37664, "dy_body_m": -0.570021, "dy_world_m": -0.354714, "dyaw_rad": -1.256563 }
-0.00504
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000093
train
go2_short
images/frames/go2_short_frame_000372.jpg
images/frames/go2_short_frame_000415.jpg
images/pair_previews/go2_short_world_pair_000093.jpg
372
415
1,778,055,864.752571
1,778,055,867.761591
3.00902
{ "quat_xyzw": [ -0.004623, 0.008985, 0.085632, 0.996276 ], "x_m": 2.342988, "y_m": 16.045147, "yaw_rad": 0.171411, "z_m": 0.312997 }
{ "quat_xyzw": [ -0.013574, 0.012038, -0.520689, 0.853553 ], "x_m": 3.567389, "y_m": 15.52944, "yaw_rad": -1.095631, "z_m": 0.310977 }
{ "distance_m": 1.328575, "dx_body_m": 1.118492, "dx_world_m": 1.224401, "dy_body_m": -0.716999, "dy_world_m": -0.515707, "dyaw_rad": -1.267042 }
-0.00202
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000094
train
go2_short
images/frames/go2_short_frame_000376.jpg
images/frames/go2_short_frame_000420.jpg
images/pair_previews/go2_short_world_pair_000094.jpg
376
420
1,778,055,865.04341
1,778,055,868.106473
3.063063
{ "quat_xyzw": [ -0.010199, -0.003395, 0.088454, 0.996022 ], "x_m": 2.540775, "y_m": 16.071119, "yaw_rad": 0.177202, "z_m": 0.309354 }
{ "quat_xyzw": [ -0.002801, -0.004922, -0.58628, 0.810089 ], "x_m": 3.626744, "y_m": 15.380252, "yaw_rad": -1.252949, "z_m": 0.314209 }
{ "distance_m": 1.2871, "dx_body_m": 0.947181, "dx_world_m": 1.085969, "dy_body_m": -0.871479, "dy_world_m": -0.690867, "dyaw_rad": -1.43015 }
0.004855
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000095
train
go2_short
images/frames/go2_short_frame_000380.jpg
images/frames/go2_short_frame_000424.jpg
images/pair_previews/go2_short_world_pair_000095.jpg
380
424
1,778,055,865.321111
1,778,055,868.384465
3.063354
{ "quat_xyzw": [ -0.005003, -0.002555, -0.016397, 0.99985 ], "x_m": 2.675653, "y_m": 16.09112, "yaw_rad": -0.03277, "z_m": 0.308491 }
{ "quat_xyzw": [ -0.002369, 0.010515, -0.725383, 0.688261 ], "x_m": 3.640711, "y_m": 15.263992, "yaw_rad": -1.623406, "z_m": 0.32046 }
{ "distance_m": 1.271014, "dx_body_m": 0.99164, "dx_world_m": 0.965058, "dy_body_m": -0.795065, "dy_world_m": -0.827128, "dyaw_rad": -1.590636 }
0.011969
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000096
train
go2_short
images/frames/go2_short_frame_000384.jpg
images/frames/go2_short_frame_000427.jpg
images/pair_previews/go2_short_world_pair_000096.jpg
384
427
1,778,055,865.594461
1,778,055,868.596159
3.001697
{ "quat_xyzw": [ 0.005997, 0.000522, -0.021345, 0.999754 ], "x_m": 2.795339, "y_m": 16.083393, "yaw_rad": -0.042686, "z_m": 0.303711 }
{ "quat_xyzw": [ -0.003214, 0.013368, -0.743049, 0.669096 ], "x_m": 3.632686, "y_m": 15.162842, "yaw_rad": -1.675598, "z_m": 0.308105 }
{ "distance_m": 1.244413, "dx_body_m": 0.875867, "dx_world_m": 0.837347, "dy_body_m": -0.88398, "dy_world_m": -0.920551, "dyaw_rad": -1.632912 }
0.004394
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000097
train
go2_short
images/frames/go2_short_frame_000388.jpg
images/frames/go2_short_frame_000431.jpg
images/pair_previews/go2_short_world_pair_000097.jpg
388
431
1,778,055,865.867603
1,778,055,868.874329
3.006726
{ "quat_xyzw": [ -0.024201, 0.004201, -0.077579, 0.996684 ], "x_m": 2.92661, "y_m": 16.081684, "yaw_rad": -0.155474, "z_m": 0.308005 }
{ "quat_xyzw": [ -0.007798, 0.011386, -0.742504, 0.669699 ], "x_m": 3.609664, "y_m": 14.995084, "yaw_rad": -1.673863, "z_m": 0.308379 }
{ "distance_m": 1.283457, "dx_body_m": 0.843074, "dx_world_m": 0.683054, "dy_body_m": -0.967724, "dy_world_m": -1.0866, "dyaw_rad": -1.518389 }
0.000374
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000098
train
go2_short
images/frames/go2_short_frame_000392.jpg
images/frames/go2_short_frame_000435.jpg
images/pair_previews/go2_short_world_pair_000098.jpg
392
435
1,778,055,866.144547
1,778,055,869.1563
3.011753
{ "quat_xyzw": [ -0.009714, -0.002661, -0.229596, 0.973234 ], "x_m": 3.037307, "y_m": 16.046524, "yaw_rad": -0.463264, "z_m": 0.304076 }
{ "quat_xyzw": [ 0.001361, 0.002232, -0.73739, 0.675462 ], "x_m": 3.597646, "y_m": 14.781895, "yaw_rad": -1.658407, "z_m": 0.310132 }
{ "distance_m": 1.383209, "dx_body_m": 1.066404, "dx_world_m": 0.560339, "dy_body_m": -0.880937, "dy_world_m": -1.264629, "dyaw_rad": -1.195144 }
0.006056
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz
go2_short_world_pair_000099
train
go2_short
images/frames/go2_short_frame_000396.jpg
images/frames/go2_short_frame_000439.jpg
images/pair_previews/go2_short_world_pair_000099.jpg
396
439
1,778,055,866.426573
1,778,055,869.436967
3.010394
{ "quat_xyzw": [ 0.001378, -0.016497, -0.251352, 0.967754 ], "x_m": 3.151434, "y_m": 15.970189, "yaw_rad": -0.508396, "z_m": 0.30849 }
{ "quat_xyzw": [ 0.004822, 0.008729, -0.740313, 0.672189 ], "x_m": 3.565702, "y_m": 14.534745, "yaw_rad": -1.667242, "z_m": 0.312614 }
{ "distance_m": 1.494027, "dx_body_m": 1.060615, "dx_world_m": 0.414268, "dy_body_m": -1.052242, "dy_world_m": -1.435444, "dyaw_rad": -1.158846 }
0.004124
good
false
score(candidate)=cosine(predicted_future_latent(current_image,candidate_delta), goal_future_latent)
Predict future visual latent from current robot-view image and candidate egomotion/action delta.
Derived from public DimOS replay data. Useful for exploratory latent dynamics/scoring, not safety-certified robot control.
https://github.com/dimensionalOS/dimos
data/.lfs/go2_short.db.tar.gz