abstract

Be a robot!: robot navigation patterns in a path crossing scenario

Authors:

Christina Lichtenthäeler,

Annika Peters,

Sascha Griffiths,

Alexandra KirschAuthors Info & Claims

HRI '13: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction

Pages 181 - 182

Published: 03 March 2013 Publication History

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Abstract

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.

References

[1]

M. Luber, L. Spinello, J. Silva, and K. Arras, "Socially-Aware Robot Navigation: A Learning Approach," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2012., 2012, pp. 902--907.

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[2]

T. Kruse, A. Kirsch, E. A. Sisbot, and R. Alami, "Dynamic generation and execution of human aware navigation plans," in Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2010.

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[3]

P. Althaus, H. Ishiguro, T. Kanda, T. Miyashita, and H. Christensen, "Navigation for human-robot interaction tasks," in IEEE International Conference on Robotics and Automation, 2004. ICRA'04. 2004, vol. 2. IEEE, 2004, pp. 1894--1900.

Google Scholar

[4]

C. Lichtenthaeler, T. Lorenz, and A. Kirsch, "Influence of Legibility on Perceived Safety in a Virtual Human-Robot Path Crossing Task," in 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012.

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Cited By

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Cheon ESu NKanda TŜabanović SHoffman GTapus A(2018)Futuristic AutobiographiesProceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3171221.3171244(388-397)Online publication date: 26-Feb-2018
https://dl.acm.org/doi/10.1145/3171221.3171244
Lichtenthäler CPeters AGriffiths SKirsch A(2013)Social Navigation - Identifying Robot Navigation Patterns in a Path Crossing ScenarioProceedings of the 5th International Conference on Social Robotics - Volume 823910.5555/2688717.2688728(84-93)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.5555/2688717.2688728

Index Terms

Be a robot!: robot navigation patterns in a path crossing scenario
1. Applied computing
  1. Law, social and behavioral sciences
    1. Psychology
    2. Sociology

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Information & Contributors

Information

Published In

HRI '13: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction

March 2013

452 pages

ISBN:9781467330558

General Chairs:
Hideaki Kuzuoka
University of Tsukuba, Japan
,
Vanessa Evers
University of Twente, The Netherlands
,
Program Chairs:
Michita Imai
Keio University, Japan
,
Jodi Forlizzi
Carnegie Mellon University, USA

In-Cooperation

AAAI: American Association for Artificial Intelligence
Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc

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IEEE Press

Publication History

Published: 03 March 2013

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HRI'13

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HRI'13: ACM/IEEE International Conference on Human-Robot Interaction

March 3 - 6, 2013

Tokyo, Japan

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

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Cheon ESu NKanda TŜabanović SHoffman GTapus A(2018)Futuristic AutobiographiesProceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3171221.3171244(388-397)Online publication date: 26-Feb-2018
https://dl.acm.org/doi/10.1145/3171221.3171244
Lichtenthäler CPeters AGriffiths SKirsch A(2013)Social Navigation - Identifying Robot Navigation Patterns in a Path Crossing ScenarioProceedings of the 5th International Conference on Social Robotics - Volume 823910.5555/2688717.2688728(84-93)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.5555/2688717.2688728

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Recommendations

Biomimetic application of desert ant visual navigation for mobile robot docking with weighted landmarks

Wall-following control of an infrared sensors guided wheeled mobile robot

Human-centered X - Y - T space path planning for mobile robot in dynamic environments