Be a Robot! Robot Navigation Patterns in a Path Crossing Scenario

Christina Lichtenthäler (1) , Annika Peters , Sascha Griffiths (2) , Alexandra Kirsch (3, 4, 1)

1 Intelligent Autonomous Systems
2 Queen Mary University of London - Department of Computer Science
3 Human-Computer Interaction and Artificial Intelligence
4 Institute for Advanced Studies

In this paper we address the question how a human would expect a robot to move when a human is crossing its way. In particular we consider the problem that physical capabilities of robots differ from humans. In order to find out how humans expect a robot, with non humanlike capabilities, to move we designed and conducted a study were the participants steer the robot. We identified four motion patterns and our results show that driving straight towards the goal and stoping when a human might collide with the robot is the favored motion pattern.

Domaines: Intelligence artificielle [cs.AI]; Interface homme-machine [cs.HC]; Robotique [cs.RO]

Christina Lichtenthäler, Annika Peters, Sascha Griffiths, Alexandra Kirsch. Be a Robot! Robot Navigation Patterns in a Path Crossing Scenario. Proceedings of the 8th ACM/IEEE International Conference on Human Robot Interaction, 2013, Tokyo, Japan. ⟨hal-01684317⟩