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constants.py
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constants.py
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import pathlib
import os
### Task parameters
#Abänderung zu meinem Verzeichnis in dem die Episoden liegen
DATA_DIR = '/home/justin/Desktop'
SIM_TASK_CONFIGS = {
'sim_transfer_cube_scripted':{
'dataset_dir': DATA_DIR + '/learning',
'num_episodes': 50,
'episode_len': 400,
'camera_names': ['left_eye', 'right_eye']
},
'sim_lift_cube_scripted':{
'dataset_dir': DATA_DIR + '/sim_lift_cube_scripted',
'num_episodes': 50,
'episode_len': 400,
'camera_names': ['top', 'right_wrist']
},
'sim_transfer_cube_human':{
'dataset_dir': DATA_DIR + '/sim_transfer_cube_human',
'num_episodes': 50,
'episode_len': 400,
'camera_names': ['top']
},
'sim_insertion_scripted': {
'dataset_dir': DATA_DIR + '/learning',
'num_episodes': 100,
'episode_len': 400,
'camera_names': ['left_eye', 'right_eye']
},
'sim_insertion_human': {
'dataset_dir': DATA_DIR + '/sim_insertion_human',
'num_episodes': 50,
'episode_len': 500,
'camera_names': ['top']
},
'all': {
'dataset_dir': DATA_DIR + '/',
'num_episodes': None,
'episode_len': None,
'name_filter': lambda n: 'sim' not in n,
'camera_names': ['cam_high', 'cam_left_wrist', 'cam_right_wrist']
},
'sim_transfer_cube_scripted_mirror':{
'dataset_dir': DATA_DIR + '/sim_transfer_cube_scripted_mirror',
'num_episodes': None,
'episode_len': 400,
'camera_names': ['top', 'left_wrist', 'right_wrist']
},
'sim_insertion_scripted_mirror': {
'dataset_dir': DATA_DIR + '/sim_insertion_scripted_mirror',
'num_episodes': None,
'episode_len': 400,
'camera_names': ['top', 'left_wrist', 'right_wrist']
},
}
### Simulation envs fixed constants
DT = 0.02
FPS = 50
JOINT_NAMES = ["waist", "shoulder", "elbow", "forearm_roll", "wrist_angle", "wrist_rotate"]
START_ARM_POSE = [0, -0.96, 1.16, 0, -0.3, 0, 0.02239, -0.02239, 0, -0.96, 1.16, 0, -0.3, 0, 0.02239, -0.02239]
SINGLE_START_ARM_POSE = [0, -0.96, 1.16, 0, -0.3, 0, 0.02239, -0.02239]
XML_DIR = str(pathlib.Path(__file__).parent.resolve()) + '/assets/' # note: absolute path
# Left finger position limits (qpos[7]), right_finger = -1 * left_finger
MASTER_GRIPPER_POSITION_OPEN = 0.02417
MASTER_GRIPPER_POSITION_CLOSE = 0.01244
PUPPET_GRIPPER_POSITION_OPEN = 0.05800
PUPPET_GRIPPER_POSITION_CLOSE = 0.01844
# Gripper joint limits (qpos[6])
MASTER_GRIPPER_JOINT_OPEN = -0.8
MASTER_GRIPPER_JOINT_CLOSE = -1.65
PUPPET_GRIPPER_JOINT_OPEN = 1.4910
PUPPET_GRIPPER_JOINT_CLOSE = -0.6213
############################ Helper functions ############################
MASTER_GRIPPER_POSITION_NORMALIZE_FN = lambda x: (x - MASTER_GRIPPER_POSITION_CLOSE) / (MASTER_GRIPPER_POSITION_OPEN - MASTER_GRIPPER_POSITION_CLOSE)
PUPPET_GRIPPER_POSITION_NORMALIZE_FN = lambda x: (x - PUPPET_GRIPPER_POSITION_CLOSE) / (PUPPET_GRIPPER_POSITION_OPEN - PUPPET_GRIPPER_POSITION_CLOSE)
MASTER_GRIPPER_POSITION_UNNORMALIZE_FN = lambda x: x * (MASTER_GRIPPER_POSITION_OPEN - MASTER_GRIPPER_POSITION_CLOSE) + MASTER_GRIPPER_POSITION_CLOSE
PUPPET_GRIPPER_POSITION_UNNORMALIZE_FN = lambda x: x * (PUPPET_GRIPPER_POSITION_OPEN - PUPPET_GRIPPER_POSITION_CLOSE) + PUPPET_GRIPPER_POSITION_CLOSE
MASTER2PUPPET_POSITION_FN = lambda x: PUPPET_GRIPPER_POSITION_UNNORMALIZE_FN(MASTER_GRIPPER_POSITION_NORMALIZE_FN(x))
MASTER_GRIPPER_JOINT_NORMALIZE_FN = lambda x: (x - MASTER_GRIPPER_JOINT_CLOSE) / (MASTER_GRIPPER_JOINT_OPEN - MASTER_GRIPPER_JOINT_CLOSE)
PUPPET_GRIPPER_JOINT_NORMALIZE_FN = lambda x: (x - PUPPET_GRIPPER_JOINT_CLOSE) / (PUPPET_GRIPPER_JOINT_OPEN - PUPPET_GRIPPER_JOINT_CLOSE)
MASTER_GRIPPER_JOINT_UNNORMALIZE_FN = lambda x: x * (MASTER_GRIPPER_JOINT_OPEN - MASTER_GRIPPER_JOINT_CLOSE) + MASTER_GRIPPER_JOINT_CLOSE
PUPPET_GRIPPER_JOINT_UNNORMALIZE_FN = lambda x: x * (PUPPET_GRIPPER_JOINT_OPEN - PUPPET_GRIPPER_JOINT_CLOSE) + PUPPET_GRIPPER_JOINT_CLOSE
MASTER2PUPPET_JOINT_FN = lambda x: PUPPET_GRIPPER_JOINT_UNNORMALIZE_FN(MASTER_GRIPPER_JOINT_NORMALIZE_FN(x))
MASTER_GRIPPER_VELOCITY_NORMALIZE_FN = lambda x: x / (MASTER_GRIPPER_POSITION_OPEN - MASTER_GRIPPER_POSITION_CLOSE)
PUPPET_GRIPPER_VELOCITY_NORMALIZE_FN = lambda x: x / (PUPPET_GRIPPER_POSITION_OPEN - PUPPET_GRIPPER_POSITION_CLOSE)
MASTER_POS2JOINT = lambda x: MASTER_GRIPPER_POSITION_NORMALIZE_FN(x) * (MASTER_GRIPPER_JOINT_OPEN - MASTER_GRIPPER_JOINT_CLOSE) + MASTER_GRIPPER_JOINT_CLOSE
MASTER_JOINT2POS = lambda x: MASTER_GRIPPER_POSITION_UNNORMALIZE_FN((x - MASTER_GRIPPER_JOINT_CLOSE) / (MASTER_GRIPPER_JOINT_OPEN - MASTER_GRIPPER_JOINT_CLOSE))
PUPPET_POS2JOINT = lambda x: PUPPET_GRIPPER_POSITION_NORMALIZE_FN(x) * (PUPPET_GRIPPER_JOINT_OPEN - PUPPET_GRIPPER_JOINT_CLOSE) + PUPPET_GRIPPER_JOINT_CLOSE
PUPPET_JOINT2POS = lambda x: PUPPET_GRIPPER_POSITION_UNNORMALIZE_FN((x - PUPPET_GRIPPER_JOINT_CLOSE) / (PUPPET_GRIPPER_JOINT_OPEN - PUPPET_GRIPPER_JOINT_CLOSE))
MASTER_GRIPPER_JOINT_MID = (MASTER_GRIPPER_JOINT_OPEN + MASTER_GRIPPER_JOINT_CLOSE)/2