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Humanoid V1
Incomplete page. Please contribute if you can. Use this file and this file to get hint
Get your quaternion conversion straight. It is an active Hamiltonian convention. See this site for clarification.
- Name: Humanoid-V1
- Category: MuJoCo
- Leaderboard Page
Make a three-dimensional bipedal robot walk forward as fast as possible, without falling over.
The OpenAI gym environment hides first 2 dimensions of qpos
returned by MuJoCo. They correspond to x
and y
coordinate of the robot root (abdomen). The reason is this quantity can grow boundlessly and their absolute value does not carry any significance. If you want to obtain the full state just use env.env.state_vector()
and you will get a 47-dimensional vector containing qpos
and qvel
. refer to mujoco_env.py
. All the joint angles are in radians.
Type: Box(376)
Num | Observation | Min | Max | Mean |
---|---|---|---|---|
0 | root_z (Position) | -inf | +inf | 1.4 |
1 | root_w (global orientation quaternion) | -1 | +1 | 1 |
2 | root_x (global orientation quaternion) | -1 | +1 | 0 |
3 | root_y (global orientation quaternion) | -1 | +1 | 0 |
4 | root_z (global orientation quaternion) | -1 | +1 | 0 |
5 | abdomen_z (rotation) | -45 | +45 | 0 |
6 | abdomen_y (rotation) | -75 | +30 | 0 |
7 | abdomen_x (rotation) | -35 | +35 | 0 |
8 | right_hip_x (rotation) | -25 | +5 | 0 |
9 | right_hip_z (rotation) | -60 | +35 | 0 |
10 | right_hip_y (rotation) | -110 | +20 | 0 |
11 | right_knee (rotation) | -160 | -2 | 0 |
12 | left_hip_x (rotation) | -25 | +5 | 0 |
13 | left_hip_z (rotation) | -60 | +35 | 0 |
14 | left_hip_y (rotation) | -110 | +20 | 0 |
15 | left_knee (rotation) | -160 | -2 | 0 |
16 | right_shoulder_1 (rotation) | -85 | +60 | 0 |
17 | right_shoulder_2 (rotation) | -85 | +60 | 0 |
18 | right_elbow (rotation) | -90 | +50 | 0 |
19 | left_shoulder_1 (rotation) | -85 | +60 | 0 |
20 | left_shoulder_2 (rotation) | -85 | +60 | 0 |
21 | left_elbow (rotation) | -90 | +50 | 0 |
22:45 | qvel (velocity of joints) | unknown | unknown | unknown |
45:185 | cinert (center of mass based inertia) | unknown | unknown | unknown |
185:269 | cvel (center of mass based velocity) | unknown | unknown | unknown |
269:292 | qfrac_actuator (actuator force) | unknown | unknown | unknown |
292:376 | cfrac_ext (center of mass based external force) | unknown | unknown | unknown |
shoulder_1 swings hand parallel to the direction in which the body is facing.
qpos: np.array((24,))
Num | Observation | Min | Max | Mean |
---|---|---|---|---|
0 | root_x (Position) | -inf | +inf | 0 |
1 | root_y (Position) | -inf | +inf | 0 |
2 | root_z (Position-high) | -inf | +inf | 1.4 |
3 | root_w (global orientation quaternion) | -1 | +1 | 1 |
4 | root_x (global orientation quaternion) | -1 | +1 | 0 |
5 | root_y (global orientation quaternion) | -1 | +1 | 0 |
6 | root_z (global orientation quaternion) | -1 | +1 | 0 |
7 | abdomen_z (rotation) | -45 | +45 | 0 |
8 | abdomen_y (rotation) | -75 | +30 | 0 |
9 | abdomen_x (rotation) | -35 | +35 | 0 |
10 | right_hip_x (rotation) | -25 | +5 | 0 |
11 | right_hip_z (rotation) | -60 | +35 | 0 |
12 | right_hip_y (rotation) | -110 | +20 | 0 |
13 | right_knee (rotation) | -160 | -2 | 0 |
14 | left_hip_x (rotation) | -25 | +5 | 0 |
15 | left_hip_z (rotation) | -60 | +35 | 0 |
16 | left_hip_y (rotation) | -110 | +20 | 0 |
17 | left_knee (rotation) | -160 | -2 | 0 |
18 | right_shoulder_1 (rotation) | -85 | +60 | 0 |
19 | right_shoulder_2 (rotation) | -85 | +60 | 0 |
20 | right_elbow (rotation) | -90 | +50 | 0 |
21 | left_shoulder_1 (rotation) | -85 | +60 | 0 |
22 | left_shoulder_2 (rotation) | -85 | +60 | 0 |
23 | left_elbow (rotation) | -90 | +50 | 0 |
qvel: np.array((23,))
Num | Observation | Min | Max | Mean |
---|---|---|---|---|
22:45 | qvel (velocity of joints) | unknown | unknown | unknown |
Type: Box(17) - Torque control
Num | Name | Gear |
---|---|---|
0 | abdomen_y | 100 |
1 | abdomen_z | 100 |
2 | abdomen_x | 100 |
3 | right_hip_x | 100 |
4 | right_hip_z | 100 |
5 | right_hip_y | 300 |
6 | right_knee | 200 |
7 | left_hip_x | 100 |
8 | left_hip_z | 100 |
9 | left_hip_y | 300 |
10 | left_knee | 200 |
11 | right_shoulder1 | 25 |
12 | right_shoulder2 | 25 |
13 | right_elbow | 25 |
14 | left_shoulder1 | 25 |
15 | left_shoulder2 | 25 |
16 | left_elbow | 25 |
The reward is given for ... To be completed
qpos = [0, 0, 1.4, 1, 0, 0 ... 0]
and qvel = np.zeros((23,))
The episode ends when the researcher decided to.
Not solved yet.
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