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The RACE Project

Robustness by Autonomous Competence Enhancement

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Abstract

This paper reports on the aims, the approach, and the results of the European project RACE. The project aim was to enhance the behavior of an autonomous robot by having the robot learn from conceptualized experiences of previous performance, based on initial models of the domain and its own actions in it. This paper introduces the general system architecture; it then sketches some results in detail regarding hybrid reasoning and planning used in RACE, and instances of learning from the experiences of real robot task execution. Enhancement of robot competence is operationalized in terms of performance quality and description length of the robot instructions, and such enhancement is shown to result from the RACE system.

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Notes

  1. http://gazebosimorg/.

  2. http://youtu.be/XvnF2JMfhvc.

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Acknowledgments

RACE is funded by the EC FP7-ICT-2011-7, Grant no. 287752, which is greatly appreciated. Comments by the anonymous reviewers have helped improve this paper.

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Authors and Affiliations

  1. Hamburg University, Hamburg, Germany

    Jianwei Zhang, Liwei Zhang, Sebastian Rockel, Bernd Neumann & Jos Lehmann

  2. University of Leeds, Leeds, England

    Krishna S. R. Dubba & Anthony G. Cohn

  3. Örebro University, Örebro, Sweden

    Alessandro Saffiotti, Federico Pecora, Masoumeh Mansouri & Štefan Konečný

  4. Osnabrück University, Osnabrück, Germany

    Joachim Hertzberg, Martin Günther & Sebastian Stock

  5. University of Aveiro, Aveiro, Portugal

    Luis Seabra Lopes, Miguel Oliveira, Gi Hyun Lim, Hamidreza Kasaei & Vahid Mokhtari

  6. HITeC Hamburger Informatik Technologie-Center e. V., Hamburg, Germany

    Lothar Hotz & Wilfried Bohlken

Authors
  1. Joachim Hertzberg
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  2. Jianwei Zhang
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  3. Liwei Zhang
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  4. Sebastian Rockel
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  5. Bernd Neumann
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  6. Jos Lehmann
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  7. Krishna S. R. Dubba
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  8. Anthony G. Cohn
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  9. Alessandro Saffiotti
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  10. Federico Pecora
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  11. Masoumeh Mansouri
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  12. Štefan Konečný
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  13. Martin Günther
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  14. Sebastian Stock
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  15. Luis Seabra Lopes
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  16. Miguel Oliveira
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  17. Gi Hyun Lim
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  18. Hamidreza Kasaei
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  19. Vahid Mokhtari
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  20. Lothar Hotz
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  21. Wilfried Bohlken
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Corresponding author

Correspondence to Joachim Hertzberg.

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Hertzberg, J., Zhang, J., Zhang, L. et al. The RACE Project. Künstl Intell 28, 297–304 (2014). https://doi.org/10.1007/s13218-014-0327-y

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  • DOI: https://doi.org/10.1007/s13218-014-0327-y

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