{ "env_contract": { "robot_type": "franka_panda_libero", "control_rate": 10, "features": { "agentview_image": { "role": "observation", "type": "rgb", "dtype": "image", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channel" ], "stats": { "mean": [ [ [ 0.48068472743034363 ] ], [ [ 0.4485854208469391 ] ], [ [ 0.4106878638267517 ] ] ], "std": [ [ [ 0.229267880320549 ] ], [ [ 0.22267605364322662 ] ], [ [ 0.21524138748645782 ] ] ], "min": [ [ [ 0.0 ] ], [ [ 0.0 ] ], [ [ 0.0 ] ] ], "max": [ [ [ 1.0 ] ], [ [ 1.0 ] ], [ [ 1.0 ] ] ] } }, "robot0_eye_in_hand_image": { "role": "observation", "type": "rgb", "dtype": "image", "shape": [ 256, 256, 3 ], "names": [ "height", "width", "channel" ], "stats": { "mean": [ [ [ 0.5057708024978638 ] ], [ [ 0.46449801325798035 ] ], [ [ 0.42354270815849304 ] ] ], "std": [ [ [ 0.2672027349472046 ] ], [ [ 0.25637131929397583 ] ], [ [ 0.24345873296260834 ] ] ], "min": [ [ [ 0.0 ] ], [ [ 0.0 ] ], [ [ 0.0 ] ] ], "max": [ [ [ 1.0 ] ], [ [ 1.0 ] ], [ [ 1.0 ] ] ] } }, "state": { "role": "observation", "type": "ee_abs", "dtype": "float32", "shape": [ 8 ], "names": [ "robot0_eef_pos.x", "robot0_eef_pos.y", "robot0_eef_pos.z", "robot0_eef_axis_angle.rx", "robot0_eef_axis_angle.ry", "robot0_eef_axis_angle.rz", "robot0_gripper_qpos.finger_joint1", "robot0_gripper_qpos.finger_joint2" ], "stats": { "mean": [ -0.04651879519224167, 0.03440921753644943, 0.7645525336265564, 2.972202777862549, -0.22047005593776703, -0.1255796253681183, 0.026914266869425774, -0.02719070389866829 ], "std": [ 0.10494378954172134, 0.15176637470722198, 0.3785160183906555, 0.34427398443222046, 0.9069469571113586, 0.3253920078277588, 0.014175914227962494, 0.014058894477784634 ], "min": [ -0.4828203022480011, -0.3255046010017395, 0.008128180168569088, 0.35277295112609863, -3.641430377960205, -1.842738389968872, -0.0013586411951109767, -0.042040832340717316 ], "max": [ 0.21031762659549713, 0.39128610491752625, 1.3660105466842651, 3.6714255809783936, 3.560650587081909, 1.386339545249939, 0.04233968257904053, 0.0013633022317662835 ] } }, "action": { "role": "action", "type": "ee_del", "dtype": "float32", "shape": [ 7 ], "names": [ "delta_eef_pos.dx", "delta_eef_pos.dy", "delta_eef_pos.dz", "delta_eef_axis_angle.drx", "delta_eef_axis_angle.dry", "delta_eef_axis_angle.drz", "gripper.open_close" ], "stats": { "mean": [ 0.06278137117624283, 0.0868409126996994, -0.09037282317876816, 0.0005407406715676188, 0.005643361248075962, -0.005229088477790356, -0.04964079707860947 ], "std": [ 0.3355240225791931, 0.3784470558166504, 0.44472837448120117, 0.03924351558089256, 0.06339313089847565, 0.07797032594680786, 0.9987710118293762 ], "min": [ -0.9375, -0.9375, -0.9375, -0.2582142949104309, -0.375, -0.3675000071525574, -1.0 ], "max": [ 0.9375, 0.9375, 0.9375, 0.3557142913341522, 0.375, 0.375, 1.0 ] } } }, "comment": "LIBERO benchmark on a single Franka Panda (robosuite/MuJoCo). A launch-time decision variable (use_delta) selects one action branch from action_modes and is spliced into features.action by config.build_contract: 'delta' = 7-DoF OSC_POSE end-effector delta + gripper (ee_del); 'absolute' = absolute target eef pose (position + axis-angle) + gripper (ee_abs). State is the absolute eef pose (position + axis-angle from robosuite (x,y,z,w) quat) + gripper finger qpos (ee_abs). Two 256x256 RGB views (agentview, wrist) at 10 Hz. Delta stats are the physical-intelligence/libero normalization values; absolute stats mirror the eef-pose state distribution." } }