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Heterogeneous Ontologies and Hybrid Reasoning for Service Robotics: The EASE Framework

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ROBOT 2017: Third Iberian Robotics Conference (ROBOT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 693))

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Abstract

As robots are expected to accomplish human-level manipulation tasks, the demand for formal knowledge representation techniques and reasoning for robots increases dramatically. In this paper we describe how to make use of heterogeneous ontologies in service robotics. To illustrate the vision, we take the action of pouring as an example.

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Author information

Authors and Affiliations

  1. Everyday Activities Science and Engineering (EASE), Collaborative Research Centre, University of Bremen, 28359, Bremen, Germany

    John Bateman, Michael Beetz, Daniel Beßler, Asil Kaan Bozcuoğlu & Mihai Pomarlan

Authors
  1. John Bateman
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  2. Michael Beetz
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  3. Daniel Beßler
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  4. Asil Kaan Bozcuoğlu
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  5. Mihai Pomarlan
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Corresponding author

Correspondence to John Bateman .

Editor information

Editors and Affiliations

  1. Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Sevilla, Spain

    Anibal Ollero

  2. Institut de Robòtica I Informàtica Industrial (CSIC-UPC), Universitat Politècnica de Catalunya, Barcelona, Spain

    Alberto Sanfeliu

  3. Departamento de Informática e Ingeniería de Sistemas, Escuela de Ingeniería y Arquitectura, Instituto de Investigación en Ingeniería de Aragón, Zaragoza, Spain

    Luis Montano

  4. Institute of Electronics and Telematics Engineering of Aveiro (IEETA), Universidade de Aveiro, Aveiro, Portugal

    Nuno Lau

  5. IDMEC, Instituto Superior Técnico de Lisboa, Universidade de Lisboa, Lisbon, Portugal

    Carlos Cardeira

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Bateman, J., Beetz, M., Beßler, D., Bozcuoğlu, A.K., Pomarlan, M. (2018). Heterogeneous Ontologies and Hybrid Reasoning for Service Robotics: The EASE Framework. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-319-70833-1_34

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  • DOI: https://doi.org/10.1007/978-3-319-70833-1_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70832-4

  • Online ISBN: 978-3-319-70833-1

  • eBook Packages: EngineeringEngineering (R0)

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