44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
from typing import Union, Tuple
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import numpy as np
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from alr_envs.black_box.raw_interface_wrapper import RawInterfaceWrapper
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class MPWrapper(RawInterfaceWrapper):
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@property
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def context_mask(self) -> np.ndarray:
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return np.hstack([
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[False] * 7, # cos
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[False] * 7, # sin
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[False] * 7, # joint velocities
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[False] * 3, # cup_goal_diff_final
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[False] * 3, # cup_goal_diff_top
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[True] * 2, # xy position of cup
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# [False] # env steps
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])
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@property
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def current_pos(self) -> Union[float, int, np.ndarray, Tuple]:
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return self.env.data.qpos[0:7].copy()
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@property
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def current_vel(self) -> Union[float, int, np.ndarray, Tuple]:
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return self.env.data.qvel[0:7].copy()
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# TODO: Fix this
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def episode_callback(self, action: np.ndarray, mp) -> Tuple[np.ndarray, Union[np.ndarray, None]]:
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if mp.learn_tau:
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self.env.env.release_step = action[0] / self.env.dt # Tau value
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return action, None
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else:
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return action, None
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def set_context(self, context):
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xyz = np.zeros(3)
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xyz[:2] = context
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xyz[-1] = 0.840
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self.env.env.model.body_pos[self.env.env.cup_table_id] = xyz
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return self.get_observation_from_step(self.env.env._get_obs())
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