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abstract

Ontology-Based Situation Awareness Support for Shared Control: Extended Abstract

Published:06 March 2017Publication History

ABSTRACT

Situation Awareness (SA) during tele-operation in robot-assisted disaster management has a major impact on the effectiveness and efficiency. Data perceived by the human and robot agents should be processed and shared in such a way that these agents can understand and direct the other agent's behaviors. E.g., for safe and effective tele-operation, the human (team leader and/or operator) and robot need to be aware of (1) the state, location, position and movement of the robot platform and its arms, and (2) the state of robot's environment (such as obstacles, ...). This paper presents an SA-ontology that formalizes the effects of SA-components on the shared control performance. It is based on literature research, interviews with subject matter experts and a field test during a disaster management exercise. The SA-ontology captured all information needs for the teleoperation, and provided further requirements for SA-support functions.

References

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  3. R.R. Murphy (2004). Human-robot interaction in rescue robotics. IEEE Transactions on Systems, Man, and Cybernetics -- Part C: Applications and Reviews. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  1. Ontology-Based Situation Awareness Support for Shared Control: Extended Abstract

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    • Published in

      cover image ACM Conferences
      HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
      March 2017
      462 pages
      ISBN:9781450348850
      DOI:10.1145/3029798

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 March 2017

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      • abstract

      Acceptance Rates

      HRI '17 Paper Acceptance Rate51of211submissions,24%Overall Acceptance Rate192of519submissions,37%

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