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Social Navigation - Identifying Robot Navigation Patterns in a Path Crossing Scenario

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Social Robotics (ICSR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8239))

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Abstract

The work at hand addresses the question: What kind of navigation behavior do humans expect from a robot in a path crossing scenario? To this end, we developed the ”Inverse Oz of Wizard” study design where participants steered a robot in a scenario in which an instructed person is crossing the robot’s path. We investigated two aspects of robot behavior: (1) what are the expected actions? and (2) can we determine the expected action by considering the spatial relationship?

The overall navigation strategy, that was performed the most, was driving straight towards the goal and either stop when the person and the robot came close or drive on towards the goal and pass the path of the person. Furthermore, we found that the spatial relationship is significantly correlated with the performed action and we can precisely predict the expected action by using a Support Vector Machine.

This work has partially been founded by the the Clusters of Excellence ”Cognitive Interaction Technology” CITEC (EXC 277) and ”Cognition for Technical Systems” CoTeSys (EXC 142). We would like to express special thanks to the Social Motor Learning Lab of the Neurocognition and Action Group (Prof.Dr. Thomas Schack) at Bielefeld University and to William Marshall Land and Bernhard Brüning for assisting the authors with the VICON system.

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Lichtenthäler, C., Peters, A., Griffiths, S., Kirsch, A. (2013). Social Navigation - Identifying Robot Navigation Patterns in a Path Crossing Scenario. In: Herrmann, G., Pearson, M.J., Lenz, A., Bremner, P., Spiers, A., Leonards, U. (eds) Social Robotics. ICSR 2013. Lecture Notes in Computer Science(), vol 8239. Springer, Cham. https://doi.org/10.1007/978-3-319-02675-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-02675-6_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02674-9

  • Online ISBN: 978-3-319-02675-6

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