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Resolving Conceptual Mode Confusion with Qualitative Spatial Knowledge in Human-Robot Interaction

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Spatial Information Theory (COSIT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8116))

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Abstract

This paper presents our work on using qualitative spatial knowledge to resolve conceptual mode confusion occurring frequently during the communication process between human operators and mobile robots. In order to bridge the gap between human’s mental representation about space and that of a mobile robot, a qualitative spatial beliefs model is applied. Then with a computational framework based on qualitative spatial reasoning offered by this model, a set of high level strategies are developed and used to support the interpretation of natural language route instructions to mobile robots for navigation tasks.

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Authors and Affiliations

  1. SFB/TR 8 Spatial Cognition, University of Bremen, Germany

    Cui Jian & Hui Shi

Authors
  1. Cui Jian
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  2. Hui Shi
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Editor information

Editors and Affiliations

  1. School of Linguistics & English Language, Bangor University, College Road, LL57 2DG, Bangor, UK

    Thora Tenbrink

  2. School of Computing, University of Leeds, Woodhouse Lane, LS2 9JT, Leeds, UK

    John Stell

  3. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Harrison Building, North Park Road, EX4 4QF, Exeter, UK

    Antony Galton  & Zena Wood  & 

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Jian, C., Shi, H. (2013). Resolving Conceptual Mode Confusion with Qualitative Spatial Knowledge in Human-Robot Interaction. In: Tenbrink, T., Stell, J., Galton, A., Wood, Z. (eds) Spatial Information Theory. COSIT 2013. Lecture Notes in Computer Science, vol 8116. Springer, Cham. https://doi.org/10.1007/978-3-319-01790-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-01790-7_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01789-1

  • Online ISBN: 978-3-319-01790-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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