media/demo_observation.json

{
 "state": {
  "left_arm": [
   [
    0.024056308373237207,
    0.033822765064097184,
    -0.016396038448321357,
    -2.0726931601418075,
    0.012247859931799656,
    -0.03578162003720947,
    -0.012941182543890062
   ]
  ],
  "right_arm": [
   [
    0.11583298923348632,
    -0.10512690694722195,
    0.2879116792491345,
    -1.9319273126265488,
    0.3167383566755674,
    -0.1142246377868063,
    1.0186058587273703
   ]
  ],
  "left_hand": [
   [
    6.398235076672701e-05,
    -9.923445381200851e-05,
    -0.0002996759294460034,
    -0.00018601688776459478,
    -0.003114431240670283,
    1.7421393062719688
   ]
  ],
  "right_hand": [
   [
    0.009224068251638124,
    0.011558206453856013,
    0.014177547256735298,
    0.011238545611423637,
    0.1418649869353279,
    1.741832493216234
   ]
  ]
 },
 "instruction": "pick the pear from the counter and place it in the plate",
 "embodiment": "gr1",
 "state_dtype": "float64",
 "_note": "GR1 sim robot_sim.PickNPlace demo step (the port's canonical golden observation); add images.ego_view = base64 of media/demo_ego_view.png and POST to /predict"
}