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Understanding Path Planning Explanations

Amar Halilovic, Senka Krivic

Year
2023
Access
Open access

Abstract

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.

Keywords

cs.ROcs.AIcs.HC

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