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A unified fuzzy logic approach to trajectory planning and inverse kinematics for a fire fighting robot operating in tunnels

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Abstract

In this paper a fuzzy logic approach to automatic trajectory planning and closed-loop inverse kinematics for a robotic system purposely designed to extinguish fires in road and railway tunnels is presented. The robot is composed of a self-cooling monorail vehicle carrying a fire fighting monitor. A fuzzy inference system is adopted for the automatic generation of the task-space trajectory for the robot and to distribute the motion among the available joints in the presence of redundant degrees of mobility. Redundancy also allows assigning additional tasks besides the primary task. Simulation case studies are presented to test the performance of the whole system in a typical intervention scenario.

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References

  • Building energy and transport infrastructures for tomorrow’s Europe. In: Proceedings of the Second Annual European Energy and Transport Conference, Barcelona, Spain (2002)

  • United Nation Economic Commission for Europe, Tansport Division, Safety in Tunnels. http://www.unece.org/trans/main/tunnels.html

  • Pacilio N, Sacripanti A (2001) Tunnel Intelligenti: Gallerie Dimaniche e Analisi di Rischio Variabile nel Tempo, Progetto FIT, ENEA (in Italian)

  • http://www.robogat.com

  • Nakamura Y, Hanafusa H, Yoshikawa T (1987) Task-priority based redundancy control of robot manipulators. Int J Robot Res 6(2):3–15

    Article  Google Scholar 

  • Antonelli G, Chiaverini S (2003) Fuzzy redundancy resolution and motion coordination for underwater vehicle-manipulator systems. IEEE Trans. Fuzzy Syst 11:109–120

    Article  Google Scholar 

  • Siciliano B, Villani L (2004) Inverse kinematics with fuzzy redundancy resolution for a fire fighting robot. The 9th International Symposium on Advances in Robot Kinematics, Sestri Levante, I, June/July 2004. In: Galletti C, Lenarcic J (eds) On Advances in Robot Kinematics, pp. 283–292. Kluwer Academic, Dordrecht

  • Hatton AP, Leech CM, Osborne MJ (1985) Computer simulation of the trajectories of large water jets. Int J Heat Fluid Flow 6(2):137–141

    Article  Google Scholar 

  • Sciavicco L, Siciliano B (2000) Modelling and Control of Robot Manipulators, 2nd edn. Springer, London

    MATH  Google Scholar 

  • Liégeois A (1977) Automatic supervisory control of the configuration and behavior of multibody mechanisms. IEEE Trans Syst Man Cybern 7:868–871

    Article  MATH  Google Scholar 

  • Driankov D, Hellendoorn H, Reinfrank M (1995) An Introduction to Fuzzy Control. Springer, Berlin

    Google Scholar 

Download references

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Authors and Affiliations

  1. PRISMA Lab, Dipartimento di Informatica e Sistemistica, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125, Napoli, Italy

    A. De Santis, B. Siciliano & L. Villani

Authors
  1. A. De Santis
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  2. B. Siciliano
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  3. L. Villani
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Correspondence to A. De Santis.

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De Santis, A., Siciliano, B. & Villani, L. A unified fuzzy logic approach to trajectory planning and inverse kinematics for a fire fighting robot operating in tunnels. Intel Serv Robotics 1, 41–49 (2008). https://doi.org/10.1007/s11370-007-0003-2

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  • DOI: https://doi.org/10.1007/s11370-007-0003-2

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