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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 61))

Abstract

A new bread of robots is entering our daily life. They clean the floors at airports [1], carry suit-cases in hotels [2] and guide you within a museum [3]. These robots, known as service robots, have four common features. (1) They work within structured environments that are a-priori known. Office environments can be considered structured as they have fixed building elements like: corridors, halls, elevators, rooms, etc. (2) The complexity of the environment is high. Not only do the structured building elements differ from building to building, but also the number of elements within a building is quite high especially if we consider that office buildings can have from two to thirty floors. (3) The environment is highly dynamic. The service robots have to operate together with humans in the same environment. That means sharing the same path and access points from one closed environmental section (corridor) to the next one. The complexity increases even more if the service robots operate in groups. But not only mobile objects reflect the dynamic changes in the environment, static objects like, desks, chairs, and boxes can block or partially occlude parts of known paths. Their appearance and disappearance in the environment can not be foreseen (planned) a priori. (4) The users are technically unskilled personnel. Therefore, not only does the human interface to the robot have to be simple, but an additional source of uncertainty has to be taken into consideration.

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References

  1. R. D. Schraft and H. Volz, Serviceroboter, Innovative Technik in Dienstleistung und Versorgung. Berlin, Heidelberg, New York: Springer Verlag, 1996.

    Google Scholar 

  2. E. Prassler, R. Dilimann, and H.-B. K. (Hrsg.), Robotik in Deutschland: Lehre, Forschung und Entwicklung. Aachen: Shaker Verlag, 1998.

    Google Scholar 

  3. S. Thrun, “Learning metric-topological maps for indoor mobile robot navigation,” Artificial Intelligence, vol. 99, pp. 21–71, 1998.

    Article  MATH  Google Scholar 

  4. R. Bajcsy and J. Kosecka, “The problem of signal and symbol integration: A study of cooperative mobile autonomous agents behaviors,” in Proceedings from DAGM Symposium Bielefeld, Germany, September, 1995.

    Google Scholar 

  5. K. Sekiyama and T. Fukuda, “Modeling and controlling of group behavior based on self-organizing principle,” in Proc. of the 1996 IEEE International Conference on Robotics and Automation (ICRA’96), vol. 2, pp. 1407–1412, 1996.

    Google Scholar 

  6. A. Birk, “Behavior-based robotics, its scope and its prospects,” in The 24th Annual Conference of the IEEE Industrial Electronics Society, IECON’98, 1998.

    Google Scholar 

  7. H. Surmann, A. Kanstein, and K. Goser, “Self-Organizing and Genetic Algorithms for an Automatic Design of Fuzzy Control and Decision Systems,” in Proceedings of the First European Congress on Fuzzy and Intelligent Technologies, EUFIT’93, pp. 1097–1104, Aachen, Germany, 1993.

    Google Scholar 

  8. C. C. Lee, “Fuzzy Logic in control systems: fuzzy logic controller,” IEEE Trans. on Systems, Man, and Cybernetics, vol. 20, pp. 404–435, 1990.

    Article  MATH  Google Scholar 

  9. E. H. Ruspini, “Fuzzy Logic in the FLAKEY Robot,” in IIZUKA’90, Proceedings of the International Conference on Fuzzy Logic and Neural Networks, pp. 202–206, Iizuka, Japan, 1990.

    Google Scholar 

  10. Y. Maeda, M. Tanabe, M. Zuta, and T. Takagi, “Hierarchical Control for Autonomous Mobile Robots with Behavior-Decision Fuzzy Algorithm,” in Proceddings of the IEEE International Conference on Robotics and Automation, pp. 117–122, Nice, France, 1992.

    Chapter  Google Scholar 

  11. A. Saffiotti, E. H. Ruspini, and K. Konolige, “Blending Reacitivity and GoalDirectedness in a Fuzzy Controller,” in Second IEEE International Conference on Fuzzy Systems, pp. 134–139, San Francisco, California, 1993.

    Chapter  Google Scholar 

  12. Y. Watanabe and F. G. Pin, “Sensor-Based Navigation of a Mobile Robot Using Automatically Constructed Fuzzy Rules,” in International Conference on Advanced Robotics, pp. 81–87, Tokyo, Japan, 1993.

    Google Scholar 

  13. P. Reignier, “Fuzzy logic techniques for mobile robot obstacle avoidance,” Robotics and Autonomous Systems, vol. 12, pp. 143–153, 1994.

    Article  Google Scholar 

  14. E. Tunstel and M. Jamshidi, “Fuzzy Logic and Behavior Control Strategy for Autonomous Mobile Robot Mapping,” in FUZZ-IEEE World Congress on Computional Intelligence pp. 514–517, Orlando, Florida, 1994.

    Google Scholar 

  15. H. Surmann, J. Huser, and J. Wehking, “Path planning for a fuzzy controlled autonomous mobile robot,” in Fifth International Conference on Fuzzy Systems, FUZZ-IEEE 96, pp. 1660–1665, New Orleans, USA, 1996.

    Chapter  Google Scholar 

  16. A. Saffiotti, E. H. Ruspini, and K. Konolige, “A Multivalued Logic Approach to Integrating Planning and Control,” Artificial Intelligence, vol 76, no. 1–2, pp 481–526, 1995.

    Article  Google Scholar 

  17. A. Saffiotti, “Some Notes on the Integration of Planning and Reactivity in Autonomous Mobile Robots,” in Procs. of the AAAI Spring Symposium on Foundations of Automatic Planning, pp. 122–126, Stanford, California, 1993.

    Google Scholar 

  18. E. von Puttkamer, “Sensorintegration zur Geometrischen Weltmodellierung,” it+ti, vol. 1/94, pp. 34–38, 1994.

    Google Scholar 

  19. V. Gorrini and H. Bersini, “Recurrent Fuzzy Systems,” in FUZZ-IEEE World Congress on Computional Intelligence, pp. 193–198, Orlando, Florida, 1994.

    Google Scholar 

  20. T. InfraLogic, Fuzzy-C Development System User’s Manual. Togai InfraLogic, 1990.

    Google Scholar 

  21. S. Thrun, “A Livelong Perspective for Mobile Robot Control,” Intelligent Robots and Systems, vol. 1, pp. 23–30, 1994.

    Google Scholar 

  22. G. Dudek, “Robotic exploration as graph construction,” IEEE Transactions on Robotics and Automation, vol. 7, no. 6, pp. 859–865, 1991.

    Article  Google Scholar 

  23. H. Surmann, J. Huser, and L. Peters, “A fuzzy system for indoor mobile robot navigation,” in Fourth IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 95, pp. 83–88, Yokohama, Japan, 1995. Distinguished with Robot Intelligence Award.

    Chapter  Google Scholar 

  24. H. Surmann, K. Heesche, M. Hoh, K. Goser, and R. Rudolf, “Entwicklungsumgebung für Fuzzy-Controller mit neuronaler Komponente,” VDEFachtagung: “Technische Anwendungen von Fuzzy-Systemen”, pp. 288–297, Dortmund, 1992.

    Google Scholar 

  25. H. Surmann, A. P. Ungering, T. Kettner, and K. Goser, “What kind of hardware is necessary for a fuzzy rule based system,” in FUZZ-IEEE World Congress on Computional Intelligence, pp. 274–278, Orlando, Florida, 1994.

    Google Scholar 

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Surmann, H., Peters, L. (2001). MORIA: A Robot with Fuzzy Controlled Behaviour. In: Driankov, D., Saffiotti, A. (eds) Fuzzy Logic Techniques for Autonomous Vehicle Navigation. Studies in Fuzziness and Soft Computing, vol 61. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1835-2_14

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  • DOI: https://doi.org/10.1007/978-3-7908-1835-2_14

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2479-7

  • Online ISBN: 978-3-7908-1835-2

  • eBook Packages: Springer Book Archive

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