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Review on Context Classification in Robotics

  • Conference paper
Rough Sets and Intelligent Systems Paradigms

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8537))

Abstract

In this paper a review on context and environment classification is presented with focus on autonomous service robots. A comprehensive research was made in order to classify the most relevant techniques, models and frameworks in use today, as well as to present possible future applications for these previous works. Most of the work done in this area has been focused in a general classification. In this sense a new possible application scenario is described and the corresponding supporting architecture.

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Author information

Authors and Affiliations

  1. Faculdade de Ciências e Tecnologia, UNL Caparica, Portugal

    Fábio Miranda, João Paulo Pimentão & Pedro Sousa

  2. Holos SA, Caparica, Portugal

    Tiago Cabral Ferreira

Authors
  1. Fábio Miranda
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  2. Tiago Cabral Ferreira
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  3. João Paulo Pimentão
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  4. Pedro Sousa
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Marzena Kryszkiewicz  & Zbigniew W. Raś  & 

  2. Department of Computer Science and Artificial Intelligence, University of Granada, Calle del Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Chris Cornelis

  3. DISCo, Università di Milano – Bicocca, Viale Sarca 336 – U14, 20126, Milano, Italy

    Davide Ciucci

  4. Dpt. de Matemáticas, University of Càdiz, Spain

    Jesús Medina-Moreno

  5. School of Computing and Information Systems, University of Tasmania, Japan

    Hiroshi Motoda

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© 2014 Springer International Publishing Switzerland

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Miranda, F., Cabral Ferreira, T., Pimentão, J.P., Sousa, P. (2014). Review on Context Classification in Robotics. In: Kryszkiewicz, M., Cornelis, C., Ciucci, D., Medina-Moreno, J., Motoda, H., Raś, Z.W. (eds) Rough Sets and Intelligent Systems Paradigms. Lecture Notes in Computer Science(), vol 8537. Springer, Cham. https://doi.org/10.1007/978-3-319-08729-0_26

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  • DOI: https://doi.org/10.1007/978-3-319-08729-0_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08728-3

  • Online ISBN: 978-3-319-08729-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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