rofunc.learning.RofuncRL.tasks.isaacgymenv.ase.humanoid

1.  Module Contents

1.1.  Classes

Humanoid

1.2.  Functions

dof_to_obs
compute_humanoid_observations
compute_humanoid_observations_max
compute_humanoid_reward
compute_humanoid_reset

1.3.  API

class rofunc.learning.RofuncRL.tasks.isaacgymenv.ase.humanoid.Humanoid(config, rl_device, sim_device, graphics_device_id, headless, virtual_screen_capture, force_render)

Bases: rofunc.learning.RofuncRL.tasks.isaacgymenv.base.vec_task.VecTask

get_obs_size()

get_action_size()

get_num_actors_per_env()

create_sim(**kwargs)

reset_idx(env_ids)

set_char_color(col)

pre_physics_step(actions)

post_physics_step()

render(sync_frame_time=False)

rofunc.learning.RofuncRL.tasks.isaacgymenv.ase.humanoid.dof_to_obs(pose: Tensor, dof_obs_size: int, dof_offsets: List[int]) → Tensor

rofunc.learning.RofuncRL.tasks.isaacgymenv.ase.humanoid.compute_humanoid_observations(root_pos: Tensor, root_rot: Tensor, root_vel: Tensor, root_ang_vel: Tensor, dof_pos: Tensor, dof_vel: Tensor, key_body_pos: Tensor, local_root_obs: bool, root_height_obs: bool, dof_obs_size: int, dof_offsets: List[int]) → Tensor

rofunc.learning.RofuncRL.tasks.isaacgymenv.ase.humanoid.compute_humanoid_observations_max(body_pos: Tensor, body_rot: Tensor, body_vel: Tensor, body_ang_vel: Tensor, local_root_obs: bool, root_height_obs: bool) → Tensor

rofunc.learning.RofuncRL.tasks.isaacgymenv.ase.humanoid.compute_humanoid_reward(obs_buf: Tensor) → Tensor

rofunc.learning.RofuncRL.tasks.isaacgymenv.ase.humanoid.compute_humanoid_reset(reset_buf: Tensor, progress_buf: Tensor, contact_buf: Tensor, contact_body_ids: Tensor, rigid_body_pos: Tensor, max_episode_length: float, enable_early_termination: bool, termination_heights: Tensor) → Tuple[Tensor, Tensor]