Understanding Path Planning Explanations
This work tackles the problem of improving human-robot interaction in navigation for users, but it appears incremental as it focuses on testing explanations rather than introducing a new method.
The paper addresses the challenge of making a mobile robot's navigational decisions understandable to humans by proposing an approach that provides visual and textual explanations, and it outlines a user study to test the understandability and simplicity of these explanations.
Navigation is a must-have skill for any mobile robot. A core challenge in navigation is the need to account for an ample number of possible configurations of environment and navigation contexts. We claim that a mobile robot should be able to explain its navigational choices making its decisions understandable to humans. In this paper, we briefly present our approach to explaining navigational decisions of a robot through visual and textual explanations. We propose a user study to test the understandability and simplicity of the robot explanations and outline our further research agenda.