Spaces:
Running
Running
import numpy as np | |
from gym import utils | |
from gym.envs.mujoco import MujocoEnv | |
from gym.spaces import Box | |
DEFAULT_CAMERA_CONFIG = { | |
"trackbodyid": 1, | |
"distance": 4.0, | |
"lookat": np.array((0.0, 0.0, 2.0)), | |
"elevation": -20.0, | |
} | |
def mass_center(model, data): | |
mass = np.expand_dims(model.body_mass, axis=1) | |
xpos = data.xipos | |
return (np.sum(mass * xpos, axis=0) / np.sum(mass))[0:2].copy() | |
class HumanoidEnv(MujocoEnv, utils.EzPickle): | |
""" | |
### 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"](https://ieeexplore.ieee.org/document/6386025). | |
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 goal of the environment is to walk forward as fast as possible without falling over. | |
### Action Space | |
The action space is a `Box(-1, 1, (17,), float32)`. An action represents the 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 | |
Observations consist 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. | |
By default, observations do not include the x- and y-coordinates of the torso. These may | |
be included by passing `exclude_current_positions_from_observation=False` during construction. | |
In that case, the observation space will have 378 dimensions where the first two dimensions | |
represent the x- and y-coordinates of the torso. | |
Regardless of whether `exclude_current_positions_from_observation` was set to true or false, the x- and y-coordinates | |
will be returned in `info` with keys `"x_position"` and `"y_position"`, respectively. | |
However, by default, 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) | | |
| 19 | 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) | | |
| 34 | angular velocity of the angle between right hip and the right shin (in right_knee) | -Inf | Inf | right_knee | hinge | anglular velocity (rad/s) | | |
| 35 | 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) | | |
| 36 | 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) | | |
| 37 | 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) | | |
| 38 | angular velocity of the angle between left hip and the left shin (in left_knee) | -Inf | Inf | left_knee | hinge | anglular velocity (rad/s) | | |
| 39 | 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) | | |
| 40 | 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) | | |
| 41 | angular velocity of the angle between right upper arm and right_lower_arm | -Inf | Inf | right_elbow | hinge | anglular velocity (rad/s) | | |
| 42 | 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) | | |
| 43 | 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) | | |
| 44 | 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 observation contains (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](https://mujoco.readthedocs.io/en/latest/XMLreference.html). | |
**Note:** Humanoid-v4 environment no longer has the following contact forces issue. | |
If using previous Humanoid 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: | |
- *healthy_reward*: Every timestep that the humanoid is alive (see section Episode Termination for definition), it gets a reward of fixed value `healthy_reward` | |
- *forward_reward*: A reward of walking forward which is measured as *`forward_reward_weight` * | |
(average center of mass before action - average center of mass after action)/dt*. | |
*dt* is the time between actions and is dependent on the frame_skip parameter | |
(default is 5), where the frametime is 0.003 - making the default *dt = 5 * 0.003 = 0.015*. | |
This reward would be positive if the humanoid walks forward (in positive x-direction). The calculation | |
for the center of mass is defined in the `.py` file for the Humanoid. | |
- *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 *`ctrl_cost_weight` * sum(control<sup>2</sup>)*. | |
- *contact_cost*: A negative reward for penalising the humanoid if the external | |
contact force is too large. It is calculated by clipping | |
*`contact_cost_weight` * sum(external contact force<sup>2</sup>)* to the interval specified by `contact_cost_range`. | |
The total reward returned is ***reward*** *=* *healthy_reward + forward_reward - ctrl_cost - contact_cost* and `info` will also contain the individual reward terms | |
### Starting State | |
All observations start in state | |
(0.0, 0.0, 1.4, 1.0, 0.0 ... 0.0) with a uniform noise in the range | |
of [-`reset_noise_scale`, `reset_noise_scale`] added to the positional and velocity values (values in the table) | |
for stochasticity. Note that the initial z coordinate is intentionally | |
selected to be high, thereby indicating a standing up humanoid. The initial | |
orientation is designed to make it face forward as well. | |
### Episode End | |
The humanoid is said to be unhealthy if the z-position of the torso is no longer contained in the | |
closed interval specified by the argument `healthy_z_range`. | |
If `terminate_when_unhealthy=True` is passed during construction (which is the default), | |
the episode ends when any of the following happens: | |
1. Truncation: The episode duration reaches a 1000 timesteps | |
3. Termination: The humanoid is unhealthy | |
If `terminate_when_unhealthy=False` is passed, the episode is ended only when 1000 timesteps are exceeded. | |
### Arguments | |
No additional arguments are currently supported in v2 and lower. | |
``` | |
env = gym.make('Humanoid-v4') | |
``` | |
v3 and v4 take gym.make kwargs such as xml_file, ctrl_cost_weight, reset_noise_scale etc. | |
``` | |
env = gym.make('Humanoid-v4', ctrl_cost_weight=0.1, ....) | |
``` | |
| Parameter | Type | Default | Description | | |
| -------------------------------------------- | --------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | |
| `xml_file` | **str** | `"humanoid.xml"` | Path to a MuJoCo model | | |
| `forward_reward_weight` | **float** | `1.25` | Weight for _forward_reward_ term (see section on reward) | | |
| `ctrl_cost_weight` | **float** | `0.1` | Weight for _ctrl_cost_ term (see section on reward) | | |
| `contact_cost_weight` | **float** | `5e-7` | Weight for _contact_cost_ term (see section on reward) | | |
| `healthy_reward` | **float** | `5.0` | Constant reward given if the humanoid is "healthy" after timestep | | |
| `terminate_when_unhealthy` | **bool** | `True` | If true, issue a done signal if the z-coordinate of the torso is no longer in the `healthy_z_range` | | |
| `healthy_z_range` | **tuple** | `(1.0, 2.0)` | The humanoid is considered healthy if the z-coordinate of the torso is in this range | | |
| `reset_noise_scale` | **float** | `1e-2` | Scale of random perturbations of initial position and velocity (see section on Starting State) | | |
| `exclude_current_positions_from_observation` | **bool** | `True` | Whether or not to omit the x- and y-coordinates from observations. Excluding the position can serve as an inductive bias to induce position-agnostic behavior in policies | | |
### 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) | |
""" | |
metadata = { | |
"render_modes": [ | |
"human", | |
"rgb_array", | |
"depth_array", | |
], | |
"render_fps": 67, | |
} | |
def __init__( | |
self, | |
forward_reward_weight=1.25, | |
ctrl_cost_weight=0.1, | |
healthy_reward=5.0, | |
terminate_when_unhealthy=True, | |
healthy_z_range=(1.0, 2.0), | |
reset_noise_scale=1e-2, | |
exclude_current_positions_from_observation=True, | |
**kwargs | |
): | |
utils.EzPickle.__init__( | |
self, | |
forward_reward_weight, | |
ctrl_cost_weight, | |
healthy_reward, | |
terminate_when_unhealthy, | |
healthy_z_range, | |
reset_noise_scale, | |
exclude_current_positions_from_observation, | |
**kwargs | |
) | |
self._forward_reward_weight = forward_reward_weight | |
self._ctrl_cost_weight = ctrl_cost_weight | |
self._healthy_reward = healthy_reward | |
self._terminate_when_unhealthy = terminate_when_unhealthy | |
self._healthy_z_range = healthy_z_range | |
self._reset_noise_scale = reset_noise_scale | |
self._exclude_current_positions_from_observation = ( | |
exclude_current_positions_from_observation | |
) | |
if exclude_current_positions_from_observation: | |
observation_space = Box( | |
low=-np.inf, high=np.inf, shape=(376,), dtype=np.float64 | |
) | |
else: | |
observation_space = Box( | |
low=-np.inf, high=np.inf, shape=(378,), dtype=np.float64 | |
) | |
MujocoEnv.__init__( | |
self, "humanoid.xml", 5, observation_space=observation_space, **kwargs | |
) | |
def healthy_reward(self): | |
return ( | |
float(self.is_healthy or self._terminate_when_unhealthy) | |
* self._healthy_reward | |
) | |
def control_cost(self, action): | |
control_cost = self._ctrl_cost_weight * np.sum(np.square(self.data.ctrl)) | |
return control_cost | |
def is_healthy(self): | |
min_z, max_z = self._healthy_z_range | |
is_healthy = min_z < self.data.qpos[2] < max_z | |
return is_healthy | |
def terminated(self): | |
terminated = (not self.is_healthy) if self._terminate_when_unhealthy else False | |
return terminated | |
def _get_obs(self): | |
position = self.data.qpos.flat.copy() | |
velocity = self.data.qvel.flat.copy() | |
com_inertia = self.data.cinert.flat.copy() | |
com_velocity = self.data.cvel.flat.copy() | |
actuator_forces = self.data.qfrc_actuator.flat.copy() | |
external_contact_forces = self.data.cfrc_ext.flat.copy() | |
if self._exclude_current_positions_from_observation: | |
position = position[2:] | |
return np.concatenate( | |
( | |
position, | |
velocity, | |
com_inertia, | |
com_velocity, | |
actuator_forces, | |
external_contact_forces, | |
) | |
) | |
def step(self, action): | |
xy_position_before = mass_center(self.model, self.data) | |
self.do_simulation(action, self.frame_skip) | |
xy_position_after = mass_center(self.model, self.data) | |
xy_velocity = (xy_position_after - xy_position_before) / self.dt | |
x_velocity, y_velocity = xy_velocity | |
ctrl_cost = self.control_cost(action) | |
forward_reward = self._forward_reward_weight * x_velocity | |
healthy_reward = self.healthy_reward | |
rewards = forward_reward + healthy_reward | |
observation = self._get_obs() | |
reward = rewards - ctrl_cost | |
terminated = self.terminated | |
info = { | |
"reward_linvel": forward_reward, | |
"reward_quadctrl": -ctrl_cost, | |
"reward_alive": healthy_reward, | |
"x_position": xy_position_after[0], | |
"y_position": xy_position_after[1], | |
"distance_from_origin": np.linalg.norm(xy_position_after, ord=2), | |
"x_velocity": x_velocity, | |
"y_velocity": y_velocity, | |
"forward_reward": forward_reward, | |
} | |
if self.render_mode == "human": | |
self.render() | |
return observation, reward, terminated, False, info | |
def reset_model(self): | |
noise_low = -self._reset_noise_scale | |
noise_high = self._reset_noise_scale | |
qpos = self.init_qpos + self.np_random.uniform( | |
low=noise_low, high=noise_high, size=self.model.nq | |
) | |
qvel = self.init_qvel + self.np_random.uniform( | |
low=noise_low, high=noise_high, size=self.model.nv | |
) | |
self.set_state(qpos, qvel) | |
observation = self._get_obs() | |
return observation | |
def viewer_setup(self): | |
assert self.viewer is not None | |
for key, value in DEFAULT_CAMERA_CONFIG.items(): | |
if isinstance(value, np.ndarray): | |
getattr(self.viewer.cam, key)[:] = value | |
else: | |
setattr(self.viewer.cam, key, value) | |