In the context of learning from demonstration (LfD), trajectory policy representations such as probabilistic movement primitives (ProMPs) allow for rich modeling demonstrated skills. To reproduce a learned skill with real robot, feedback controller is required to cope perturbations and react dynamic changes in environment. this letter, we propose generalized control approach that merges movemen...