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Robotic Reasoning with Ontological Semantic Technology

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Book cover Robot Intelligence Technology and Applications 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 208))

Abstract

The paper discusses the ways in which Ontological Semantic Technology (OST) can contribute to current robotic systems. Based on the example of a robotic car oil changer, the paper demonstrates how OST can represent background knowledge and drive object-based inference and anomaly detection rules as well as complex script-based behavior in field and service robots.

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References

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Author information

Authors and Affiliations

  1. Princess Ekaterina R. Dashkova Moscow Humanities Institute, Ontological Semantics Technology Lab, Texas A&M University, Northeast Texas, USA

    Max Petrenko

  2. Dept. of Literature and Languages, Ontological Semantic Technology Lab, Texas A&M University, Northeast Texas, USA

    Christian F. Hempelmann

Authors
  1. Max Petrenko
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  2. Christian F. Hempelmann
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Corresponding author

Correspondence to Max Petrenko .

Editor information

Editors and Affiliations

  1. , Electrical Engineering and Computer Sci., KAIST, 291 Daehak-ro, Daejeon, 305-701, Korea, Republic of (South Korea)

    Jong-Hwan Kim

  2. Dept. Computer &, Information Technology (ICT), Purdue University, N. Grant St. 401, West Lafayette, 47907-1421, Indiana, USA

    Eric T. Matson

  3. , Dept. of Civil and Environmental Engg., KAIST, Daehak-ro 291, Daejeon, 305-701, Korea, Republic of (South Korea)

    Hyun Myung

  4. , Faculty of Engineering, The University of Auckland, Private Bag, Auckland, 1142, New Zealand

    Peter Xu

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Petrenko, M., Hempelmann, C.F. (2013). Robotic Reasoning with Ontological Semantic Technology. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_85

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  • DOI: https://doi.org/10.1007/978-3-642-37374-9_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37373-2

  • Online ISBN: 978-3-642-37374-9

  • eBook Packages: EngineeringEngineering (R0)

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