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The Robot Brain Server: Design of a Human-Artificial Systems Partnership

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Intelligent Human Systems Integration (IHSI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 722))

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Abstract

The global demand on technological services that make people independent of others is growing. Social robots seem an outstanding candidate to offer services for self-management and companionship because they can deliver abstract information in an understandable way and are treated as trusted partners. Recently, I initiated the Robot Brain Server (RBS) project, which handles the data, data security, and Artificial Intelligence that drives the robots. RBS takes a hybrid-centered design approach in which software developers work with the public at large to produce a new generation of artificial cognitive service systems to support specialists in care, education, hospitality, and other service professions.

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Notes

  1. 1.

    https://bitbucket.org/robopop/; git@bitbucket.org:robopop/silicon-coppelia.git.

  2. 2.

    https://github.com/robopop/; git@github.com:robopop/epistemics.git.

  3. 3.

    https://github.com/jeroenvanmaanen/leia; git@github.com:jeroenvanmaanen/leia.git.

  4. 4.

    http://www.robopop.nl.

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Acknowledgments

I kindly acknowledge the work of Jeroen A. N. van Maanen in elaborating the RBS architecture and preparing the visual.

Author information

Authors and Affiliations

  1. Faculty of Social Sciences, Vrije Universiteit, De Boelelaan 1081a, 1081 HV, Amsterdam, The Netherlands

    Johan F. Hoorn

  2. Department of Computing and School of Design, The Hong Kong Polytechnic University, 130 Hunghom, Kowloon, Hong Kong

    Johan F. Hoorn

Authors
  1. Johan F. Hoorn
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Corresponding author

Correspondence to Johan F. Hoorn .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Waldemar Karwowski

  2. University of Central Florida, Orlando, Florida, USA

    Tareq Ahram

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Hoorn, J.F. (2018). The Robot Brain Server: Design of a Human-Artificial Systems Partnership. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_83

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  • DOI: https://doi.org/10.1007/978-3-319-73888-8_83

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73887-1

  • Online ISBN: 978-3-319-73888-8

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