Towards providing explanations for robot motion planning
Martim Brandão Gerard Canal Senka Krivić Daniele Magazzeni Martim Brandão Gerard Canal Senka Krivić Daniele Magazzeni
Recent research in AI ethics has put forth explainability as an essential principle for AI algorithms. However, it is still unclear how this is to be implemented in practice for specific classes of algorithms—such as motion planners. In this paper we unpack the concept of explanation in the context of motion planning, introducing a new taxonomy of kinds and purposes of explanations in this context...