Humanoid Standup#

This environment is part of the Mujoco environments. Please read that page first for general information.


Action Space	Box(-0.4, 0.4, (17,), float32)
Observation Shape	(376,)
Observation High	[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf]
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Import	`gym.make("HumanoidStandup-v4")`

Description#

This environment is based on the environment introduced by Tassa, Erez and Todorov in “Synthesis and stabilization of complex behaviors through online trajectory optimization”. The 3D bipedal robot is designed to simulate a human. It has a torso (abdomen) with a pair of legs and arms. The legs each consist of two links, and so the arms (representing the knees and elbows respectively). The environment starts with the humanoid laying on the ground, and then the goal of the environment is to make the humanoid standup and then keep it standing by applying torques on the various hinges.

Action Space#

The agent take a 17-element vector for actions.

The action space is a continuous (action, ...) all in [-1, 1], where action represents the numerical torques applied at the hinge joints.

Num	Action	Control Min	Control Max	Name (in corresponding XML file)	Joint	Unit
0	Torque applied on the hinge in the y-coordinate of the abdomen	-0.4	0.4	hip_1 (front_left_leg)	hinge	torque (N m)
1	Torque applied on the hinge in the z-coordinate of the abdomen	-0.4	0.4	angle_1 (front_left_leg)	hinge	torque (N m)
2	Torque applied on the hinge in the x-coordinate of the abdomen	-0.4	0.4	hip_2 (front_right_leg)	hinge	torque (N m)
3	Torque applied on the rotor between torso/abdomen and the right hip (x-coordinate)	-0.4	0.4	right_hip_x (right_thigh)	hinge	torque (N m)
4	Torque applied on the rotor between torso/abdomen and the right hip (z-coordinate)	-0.4	0.4	right_hip_z (right_thigh)	hinge	torque (N m)
5	Torque applied on the rotor between torso/abdomen and the right hip (y-coordinate)	-0.4	0.4	right_hip_y (right_thigh)	hinge	torque (N m)
6	Torque applied on the rotor between the right hip/thigh and the right shin	-0.4	0.4	right_knee	hinge	torque (N m)
7	Torque applied on the rotor between torso/abdomen and the left hip (x-coordinate)	-0.4	0.4	left_hip_x (left_thigh)	hinge	torque (N m)
8	Torque applied on the rotor between torso/abdomen and the left hip (z-coordinate)	-0.4	0.4	left_hip_z (left_thigh)	hinge	torque (N m)
9	Torque applied on the rotor between torso/abdomen and the left hip (y-coordinate)	-0.4	0.4	left_hip_y (left_thigh)	hinge	torque (N m)
10	Torque applied on the rotor between the left hip/thigh and the left shin	-0.4	0.4	left_knee	hinge	torque (N m)
11	Torque applied on the rotor between the torso and right upper arm (coordinate -1)	-0.4	0.4	right_shoulder1	hinge	torque (N m)
12	Torque applied on the rotor between the torso and right upper arm (coordinate -2)	-0.4	0.4	right_shoulder2	hinge	torque (N m)
13	Torque applied on the rotor between the right upper arm and right lower arm	-0.4	0.4	right_elbow	hinge	torque (N m)
14	Torque applied on the rotor between the torso and left upper arm (coordinate -1)	-0.4	0.4	left_shoulder1	hinge	torque (N m)
15	Torque applied on the rotor between the torso and left upper arm (coordinate -2)	-0.4	0.4	left_shoulder2	hinge	torque (N m)
16	Torque applied on the rotor between the left upper arm and left lower arm	-0.4	0.4	left_elbow	hinge	torque (N m)

Observation Space#

The state space consists of positional values of different body parts of the Humanoid, followed by the velocities of those individual parts (their derivatives) with all the positions ordered before all the velocities.

Note: The x- and y-coordinates of the torso are being omitted to produce position-agnostic behavior in policies

The observation is a ndarray with shape (376,) where the elements correspond to the following:

Num	Observation	Min	Max	Name (in corresponding XML file)	Joint	Unit
0	z-coordinate of the torso (centre)	-Inf	Inf	root	free	position (m)
1	x-orientation of the torso (centre)	-Inf	Inf	root	free	angle (rad)
2	y-orientation of the torso (centre)	-Inf	Inf	root	free	angle (rad)
3	z-orientation of the torso (centre)	-Inf	Inf	root	free	angle (rad)
4	w-orientation of the torso (centre)	-Inf	Inf	root	free	angle (rad)
5	z-angle of the abdomen (in lower_waist)	-Inf	Inf	abdomen_z	hinge	angle (rad)
6	y-angle of the abdomen (in lower_waist)	-Inf	Inf	abdomen_y	hinge	angle (rad)
7	x-angle of the abdomen (in pelvis)	-Inf	Inf	abdomen_x	hinge	angle (rad)
8	x-coordinate of angle between pelvis and right hip (in right_thigh)	-Inf	Inf	right_hip_x	hinge	angle (rad)
9	z-coordinate of angle between pelvis and right hip (in right_thigh)	-Inf	Inf	right_hip_z	hinge	angle (rad)
10	y-coordinate of angle between pelvis and right hip (in right_thigh)	-Inf	Inf	right_hip_y	hinge	angle (rad)
11	angle between right hip and the right shin (in right_knee)	-Inf	Inf	right_knee	hinge	angle (rad)
12	x-coordinate of angle between pelvis and left hip (in left_thigh)	-Inf	Inf	left_hip_x	hinge	angle (rad)
13	z-coordinate of angle between pelvis and left hip (in left_thigh)	-Inf	Inf	left_hip_z	hinge	angle (rad)
14	y-coordinate of angle between pelvis and left hip (in left_thigh)	-Inf	Inf	left_hip_y	hinge	angle (rad)
15	angle between left hip and the left shin (in left_knee)	-Inf	Inf	left_knee	hinge	angle (rad)
16	coordinate-1 (multi-axis) angle between torso and right arm (in right_upper_arm)	-Inf	Inf	right_shoulder1	hinge	angle (rad)
17	coordinate-2 (multi-axis) angle between torso and right arm (in right_upper_arm)	-Inf	Inf	right_shoulder2	hinge	angle (rad)
18	angle between right upper arm and right_lower_arm	-Inf	Inf	right_elbow	hinge	angle (rad)
19	coordinate-1 (multi-axis) angle between torso and left arm (in left_upper_arm)	-Inf	Inf	left_shoulder1	hinge	angle (rad)
20	coordinate-2 (multi-axis) angle between torso and left arm (in left_upper_arm)	-Inf	Inf	left_shoulder2	hinge	angle (rad)
21	angle between left upper arm and left_lower_arm	-Inf	Inf	left_elbow	hinge	angle (rad)
22	x-coordinate velocity of the torso (centre)	-Inf	Inf	root	free	velocity (m/s)
23	y-coordinate velocity of the torso (centre)	-Inf	Inf	root	free	velocity (m/s)
24	z-coordinate velocity of the torso (centre)	-Inf	Inf	root	free	velocity (m/s)
25	x-coordinate angular velocity of the torso (centre)	-Inf	Inf	root	free	anglular velocity (rad/s)
26	y-coordinate angular velocity of the torso (centre)	-Inf	Inf	root	free	anglular velocity (rad/s)
27	z-coordinate angular velocity of the torso (centre)	-Inf	Inf	root	free	anglular velocity (rad/s)
28	z-coordinate of angular velocity of the abdomen (in lower_waist)	-Inf	Inf	abdomen_z	hinge	anglular velocity (rad/s)
29	y-coordinate of angular velocity of the abdomen (in lower_waist)	-Inf	Inf	abdomen_y	hinge	anglular velocity (rad/s)
30	x-coordinate of angular velocity of the abdomen (in pelvis)	-Inf	Inf	abdomen_x	hinge	aanglular velocity (rad/s)
31	x-coordinate of the angular velocity of the angle between pelvis and right hip (in right_thigh)	-Inf	Inf	right_hip_x	hinge	anglular velocity (rad/s)
32	z-coordinate of the angular velocity of the angle between pelvis and right hip (in right_thigh)	-Inf	Inf	right_hip_z	hinge	anglular velocity (rad/s)
33	y-coordinate of the angular velocity of the angle between pelvis and right hip (in right_thigh)	-Inf	Inf	right_hip_y	hinge	anglular velocity (rad/s)
35	angular velocity of the angle between right hip and the right shin (in right_knee)	-Inf	Inf	right_knee	hinge	anglular velocity (rad/s)
36	x-coordinate of the angular velocity of the angle between pelvis and left hip (in left_thigh)	-Inf	Inf	left_hip_x	hinge	anglular velocity (rad/s)
37	z-coordinate of the angular velocity of the angle between pelvis and left hip (in left_thigh)	-Inf	Inf	left_hip_z	hinge	anglular velocity (rad/s)
38	y-coordinate of the angular velocity of the angle between pelvis and left hip (in left_thigh)	-Inf	Inf	left_hip_y	hinge	anglular velocity (rad/s)
39	angular velocity of the angle between left hip and the left shin (in left_knee)	-Inf	Inf	left_knee	hinge	anglular velocity (rad/s)
40	coordinate-1 (multi-axis) of the angular velocity of the angle between torso and right arm (in right_upper_arm)	-Inf	Inf	right_shoulder1	hinge	anglular velocity (rad/s)
41	coordinate-2 (multi-axis) of the angular velocity of the angle between torso and right arm (in right_upper_arm)	-Inf	Inf	right_shoulder2	hinge	anglular velocity (rad/s)
42	angular velocity of the angle between right upper arm and right_lower_arm	-Inf	Inf	right_elbow	hinge	anglular velocity (rad/s)
43	coordinate-1 (multi-axis) of the angular velocity of the angle between torso and left arm (in left_upper_arm)	-Inf	Inf	left_shoulder1	hinge	anglular velocity (rad/s)
44	coordinate-2 (multi-axis) of the angular velocity of the angle between torso and left arm (in left_upper_arm)	-Inf	Inf	left_shoulder2	hinge	anglular velocity (rad/s)
45	angular velocitty of the angle between left upper arm and left_lower_arm	-Inf	Inf	left_elbow	hinge	anglular velocity (rad/s)

Additionally, after all the positional and velocity based values in the table, the state_space consists of (in order):

cinert: Mass and inertia of a single rigid body relative to the center of mass (this is an intermediate result of transition). It has shape 14*10 (nbody * 10) and hence adds to another 140 elements in the state space.
cvel: Center of mass based velocity. It has shape 14 * 6 (nbody * 6) and hence adds another 84 elements in the state space
qfrc_actuator: Constraint force generated as the actuator force. This has shape (23,) (nv * 1) and hence adds another 23 elements to the state space.
cfrc_ext: This is the center of mass based external force on the body. It has shape 14 * 6 (nbody * 6) and hence adds to another 84 elements in the state space. where nbody stands for the number of bodies in the robot and nv stands for the number of degrees of freedom (= dim(qvel))

The (x,y,z) coordinates are translational DOFs while the orientations are rotational DOFs expressed as quaternions. One can read more about free joints on the Mujoco Documentation.

Note: HumanoidStandup-v4 environment no longer has the following contact forces issue. If using previous HumanoidStandup versions from v4, there have been reported issues that using a Mujoco-Py version > 2.0 results in the contact forces always being 0. As such we recommend to use a Mujoco-Py version < 2.0 when using the Humanoid environment if you would like to report results with contact forces (if contact forces are not used in your experiments, you can use version > 2.0).

Rewards#

The reward consists of three parts:

uph_cost: A reward for moving upward (in an attempt to stand up). This is not a relative reward which measures how much upward it has moved from the last timestep, but it is an absolute reward which measures how much upward the Humanoid has moved overall. It is measured as (z coordinate after action - 0)/(atomic timestep), where z coordinate after action is index 0 in the state/index 2 in the table, and atomic timestep is the time for one frame of movement even though the simulation has a framerate of 5 (done in order to inflate rewards a little for faster learning).
quad_ctrl_cost: A negative reward for penalising the humanoid if it has too large of a control force. If there are nu actuators/controls, then the control has shape nu x 1. It is measured as 0.1 x sum(control²).
quad_impact_cost: A negative reward for penalising the humanoid if the external contact force is too large. It is calculated as min(0.5 * 0.000001 * sum(external contact force²), 10).

The total reward returned is reward = uph_cost + 1 - quad_ctrl_cost - quad_impact_cost

Starting State#

All observations start in state (0.0, 0.0, 0.105, 1.0, 0.0 … 0.0) with a uniform noise in the range of [-0.01, 0.01] added to the positional and velocity values (values in the table) for stochasticity. Note that the initial z coordinate is intentionally selected to be low, thereby indicating a laying down humanoid. The initial orientation is designed to make it face forward as well.

Episode End#

The episode ends when any of the following happens:

Truncation: The episode duration reaches a 1000 timesteps
Termination: Any of the state space values is no longer finite

Arguments#

No additional arguments are currently supported.

env = gym.make('HumanoidStandup-v4')

There is no v3 for HumanoidStandup, unlike the robot environments where a v3 and beyond take gym.make kwargs such as xml_file, ctrl_cost_weight, reset_noise_scale etc.

Version History#

v4: all mujoco environments now use the mujoco bindings in mujoco>=2.1.3
v3: support for gym.make kwargs such as xml_file, ctrl_cost_weight, reset_noise_scale etc. rgb rendering comes from tracking camera (so agent does not run away from screen)
v2: All continuous control environments now use mujoco_py >= 1.50
v1: max_time_steps raised to 1000 for robot based tasks. Added reward_threshold to environments.
v0: Initial versions release (1.0.0)