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Augmented Autonomy: Improving human-robot team performance in Urban Search and Rescue
Univ Bremen, Dept EECS, Robot Lab, D-28725 Bremen, Germany.
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-6013-4874
Univ Bremen, Dept EECS, Robot Lab, D-28725 Bremen, Germany.
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2008 (English)In: 2008 IEEE/RSJ International Conference on Robots and Intelligent Systems, vols 1-3, conference proceedings, New York: IEEE Robotics and Automation Society, 2008, p. 2103-2108Conference paper, Published paper (Refereed)
Abstract [en]

Exploration of unknown environments remains one of the fundamental problems of mobile robotics. It is also a prime example for a task that can benefit significantly from multi-robot teams. We present an integrated system for semi-autonomous cooperative exploration, augmented by an intuitive user interface for efficient human supervision and control. In this preliminary study we demonstrate the effectiveness of the system as a whole and the intuitive interface in particular. Congruent with previous findings, results confirm that having a human in the loop improves task performance, especially with larger numbers of robots. Specific to our interface, we find that even untrained operators can efficiently manage a decently sized team of robots.

Place, publisher, year, edition, pages
New York: IEEE Robotics and Automation Society, 2008. p. 2103-2108
National Category
Robotics
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-23809DOI: 10.1109/IROS.2008.4651034ISI: 000259998201116ISBN: 978-1-4244-2057-5 (print)ISBN: 978-1-4244-2058-2 (print)OAI: oai:DiVA.org:oru-23809DiVA, id: diva2:538842
Conference
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Available from: 2012-07-31 Created: 2012-07-02 Last updated: 2017-10-17Bibliographically approved

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Stoyanov, Todor

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
  • html
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  • asciidoc
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