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Abstract

RHINO was the University of Bonn’s entry in the 1994 AAAI Robot Competition and Exhibition. RHINO is a mobile robot designed for indoor navigation and manipulation tasks. The general scientific goal of the RHINO project is the development and the analysis of autonomous and complex learning systems. This paper briefly describes the major components of the RHINO control software as they were exhibited at the competition. It also sketches the basic philosophy of the RHINO architecture and discusses some of the lessons that we learned during the competition.

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References

  1. T. Balch, G. Boone, T. Collins, H. Forbes, D. MacKenzie, and J. C. Santamaria. Io, Ganymede and Callisto — a multiagent robot janitorial team. AI Magazine,Summer 1995, to appear.

    Google Scholar 

  2. T. L. Dean and M. Boddy. An analysis of time-dependent planning. In Proceeding of Seventh National Conference on Artificial Intelligence AAAI-92, Menlo Park, CA, 1988. AAAI, AAAI Press/The MIT Press, pp. 49–54.

    Google Scholar 

  3. C. Fedor. TCX. An interprocess communication system for building robotic architectures. programmer’s guide to version 10.xx. Carnegie Mellon University, Pittsburgh, PA 15213, December 1993.

    Google Scholar 

  4. R. A. Howard. Dynamic Programming and Markov Processes. MIT Press and Wiley, 1960.

    Google Scholar 

  5. H. P. Moravec. Sensor fusion in certainty grids for mobile robots. AI Magazine, Summer 1988, pp. 61–74.

    Google Scholar 

  6. R. Simmons. The 1994 AAAI robot competition and exhibition. AI Magazine, Summer 1995, to appear.

    Google Scholar 

  7. S. Thrun. Exploration and model building in mobile robot domains. In Proceedings of the ICNN-93, IEEE Neural Network Council, San Francisco, CA, March 1993, pp. 175–180.

    Google Scholar 

  8. S. Thrun. A lifelong learning perspective for mobile robot control. In Proceedings of the IEEE/RSJ/GI International Conference on Intelligent Robots and Systems, September 1994.

    Google Scholar 

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© 1995 Springer-Verlag London Limited

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Buhmann, J. et al. (1995). The Mobile Robot Rhino. In: Kappen, B., Gielen, S. (eds) Neural Networks: Artificial Intelligence and Industrial Applications. Springer, London. https://doi.org/10.1007/978-1-4471-3087-1_26

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  • DOI: https://doi.org/10.1007/978-1-4471-3087-1_26

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19992-2

  • Online ISBN: 978-1-4471-3087-1

  • eBook Packages: Springer Book Archive

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