Created
August 29, 2019 13:07
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## Values in the observation vector | |
# 'vtgt_field': vtgt vectors in body frame (2*11*11 = 242 values) | |
# 'pelvis': height, pitch, roll, 6 vel (9 values) | |
# for each 'r_leg' and 'l_leg' (*2) | |
# 'ground_reaction_forces' (3 values) | |
# 'joint' (4 values) | |
# 'd_joint' (4 values) | |
# for each of the eleven muscles (*11) | |
# normalized 'f', 'l', 'v' (3 values) | |
# 242 + 9 + 2*(3 + 4 + 4 + 11*3) = 339 | |
def obsdict2list(obs_dict): | |
# Augmented environment from the L2R challenge | |
res = [] | |
# target velocity field (in body frame) | |
v_tgt = np.ndarray.flatten(obs_dict['v_tgt_field']) | |
res += v_tgt.tolist() | |
res.append(obs_dict['pelvis']['height']) | |
res.append(obs_dict['pelvis']['pitch']) | |
res.append(obs_dict['pelvis']['roll']) | |
res.append(obs_dict['pelvis']['vel'][0]/self.LENGTH0) | |
res.append(obs_dict['pelvis']['vel'][1]/self.LENGTH0) | |
res.append(obs_dict['pelvis']['vel'][2]/self.LENGTH0) | |
res.append(obs_dict['pelvis']['vel'][3]) | |
res.append(obs_dict['pelvis']['vel'][4]) | |
res.append(obs_dict['pelvis']['vel'][5]) | |
for leg in ['r_leg', 'l_leg']: | |
res += obs_dict[leg]['ground_reaction_forces'] | |
res.append(obs_dict[leg]['joint']['hip_abd']) | |
res.append(obs_dict[leg]['joint']['hip']) | |
res.append(obs_dict[leg]['joint']['knee']) | |
res.append(obs_dict[leg]['joint']['ankle']) | |
res.append(obs_dict[leg]['d_joint']['hip_abd']) | |
res.append(obs_dict[leg]['d_joint']['hip']) | |
res.append(obs_dict[leg]['d_joint']['knee']) | |
res.append(obs_dict[leg]['d_joint']['ankle']) | |
for MUS in ['HAB', 'HAD', 'HFL', 'GLU', 'HAM', | |
'RF', 'VAS', 'BFSH', 'GAS', 'SOL', 'TA']: | |
res.append(obs_dict[leg][MUS]['f']) | |
res.append(obs_dict[leg][MUS]['l']) | |
res.append(obs_dict[leg][MUS]['v']) | |
return res |
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