rofunc.learning.RofuncRL.tasks.isaacgymenv.hands.shadow_hand_meta.shadow_hand_meta_mt4#
1. Module Contents#
1.1. Classes#
1.2. Functions#
1.3. API#
- class rofunc.learning.RofuncRL.tasks.isaacgymenv.hands.shadow_hand_meta.shadow_hand_meta_mt4.ShadowHandMetaMT4(cfg, rl_device, sim_device, graphics_device_id, headless, virtual_screen_capture, force_render, agent_index=[[[0, 1, 2, 3, 4, 5]], [[0, 1, 2, 3, 4, 5]]], is_multi_agent=False)#
Bases:
rofunc.learning.RofuncRL.tasks.isaacgymenv.base.vec_task.VecTask- create_sim()#
- compute_reward(actions)#
- compute_observations()#
- compute_full_state(asymm_obs=False)#
- reset_target_pose(env_ids, apply_reset=False)#
- reset_idx(env_ids, goal_env_ids)#
- pre_physics_step(actions)#
- post_physics_step()#
- rofunc.learning.RofuncRL.tasks.isaacgymenv.hands.shadow_hand_meta.shadow_hand_meta_mt4.randomize_rotation(rand0, rand1, x_unit_tensor, y_unit_tensor)#
- rofunc.learning.RofuncRL.tasks.isaacgymenv.hands.shadow_hand_meta.shadow_hand_meta_mt4.randomize_rotation_pen(rand0, rand1, max_angle, x_unit_tensor, y_unit_tensor, z_unit_tensor)#