We recommend you using addict
or yaml
to edit the configuration files.
We provide a demo to show how to edit the configuration.
You can call this demo as follows:
from mp_pytorch import demo
config, times, params, params_L, init_time, init_pos, init_vel, demos = \
demo.get_mp_utils(mp_type="prodmp", learn_tau=True, learn_delay=True)
Type | Parameters | Description |
---|---|---|
General | num_dof |
Number of DoFs |
tau |
||
learn_tau |
If tau is learnable | |
learn_delay |
If delay is learnable | |
Movement Primitives | num_basis |
Number of Basis functions |
basis_bandwidth_factor |
||
alpha |
||
alpha_phase |
||
dt |
Timestep | |
weights_scale |
||
goal_scale |
||
mp_type |
Type of Movement Primitives |