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Gymnasium/gym/envs/robotics/hand_env.py

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2018-02-26 17:35:07 +01:00
import os
import copy
import numpy as np
import gym
from gym import error, spaces
from gym.utils import seeding
from gym.envs.robotics import robot_env
class HandEnv(robot_env.RobotEnv):
def __init__(self, model_path, n_substeps, initial_qpos, relative_control):
self.relative_control = relative_control
super(HandEnv, self).__init__(
model_path=model_path, n_substeps=n_substeps, n_actions=20,
initial_qpos=initial_qpos)
# RobotEnv methods
# ----------------------------
def _set_action(self, action):
assert action.shape == (20,)
ctrlrange = self.sim.model.actuator_ctrlrange
actuation_range = (ctrlrange[:, 1] - ctrlrange[:, 0]) / 2.
if self.relative_control:
actuation_center = np.zeros_like(action)
for i in range(self.sim.data.ctrl.shape[0]):
actuation_center[i] = self.sim.data.get_joint_qpos(
self.sim.model.actuator_names[i].replace(':A_', ':'))
for joint_name in ['FF', 'MF', 'RF', 'LF']:
act_idx = self.sim.model.actuator_name2id(
'robot0:A_{}J1'.format(joint_name))
actuation_center[act_idx] += self.sim.data.get_joint_qpos(
'robot0:{}J0'.format(joint_name))
else:
actuation_center = (ctrlrange[:, 1] + ctrlrange[:, 0]) / 2.
self.sim.data.ctrl[:] = actuation_center + action * actuation_range
self.sim.data.ctrl[:] = np.clip(self.sim.data.ctrl, ctrlrange[:, 0], ctrlrange[:, 1])
def _viewer_setup(self):
body_id = self.sim.model.body_name2id('robot0:palm')
lookat = self.sim.data.body_xpos[body_id]
for idx, value in enumerate(lookat):
self.viewer.cam.lookat[idx] = value
self.viewer.cam.distance = 0.5
self.viewer.cam.azimuth = 55.
self.viewer.cam.elevation = -25.
def render(self, mode='human', width=500, height=500):
return super(HandEnv, self).render(mode, width, height)