Closed deepakraina99 closed 3 years ago
Yes, it is! As it uses a DMP model, you can easily modify the attractor/goal of a DMP. You may want to have a look at https://github.com/robotlearn/pyrobolearn/blob/9cd7c060723fda7d2779fa255ac998c2c82b8436/pyrobolearn/models/dmp/discrete_dmp.py#L60 as the DMP definition includes a goal parameter.
The imitation example given is only for the reproduction of demonstrated trajectory. What if I would like to change the goal location during reproduction? Is this possible with the same example?