Learning Human Preferences for Motion Planning in Robotic Manipulation

Humans often demonstrate diverse behaviours due to their personal preferences, for instance related to their individual execution style or personal margin for safety. In this paper, we consider the problem of integrating such preferences into planning of trajectories for robotic manipulators. We first learn<br/>reward functions that represent...