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Fuzzy logic decision making for multi-robot security systems

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An Erratum to this article was published on 17 July 2010

Abstract

The paper proposes a fuzzy logic decision making system for security robots that deals with multiple tasks with dynamically changing scene. The tasks consist of patrolling the environment, inspecting for missing items, chasing and disabling intruders, and guarding the area. The decision making considers robot limitations such as maximum floor coverage per robot and remaining robot battery energy, as well as cooperation among robots to complete the mission. Each robot agent makes its own decision based on its internal information as well as information broadcast to it by other robots about events such as intruder sighting. As a result the multi-robot security system is distributive without a central coordinator. The system has been implemented both in simulations and on actual robots and its performance has been verified under different scenarios.

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References

  • Arkin R (1998) Behavior-based robotics. MIT Press, Cambridge, MA

    Google Scholar 

  • Bojinov H, Casal A, Hogg T (2000) Emergent structures in modular self-reconfigurable robots. In: Proceedings of international conference on robotics and automation. San Fransisco

  • Born T, Ferrer G, Wright AM, Wright AB (2007) Layered mode selection logic control for border security. Department of Physics, Hendrix College, Conway, AR, and Department of Applied Science, University of Arkansas at Little Rock, Little Rock, AR

  • Castelnovi M, Musso P, Sgorbissa A, Zaccaria R (2003) Surveillance robotics: analyzing scenes by colors analysis and clustering. Proc IEEE 1: 229–234

    Google Scholar 

  • Cross M (2009) Fuzzy logic decision making for an intelligent cooperative multi-robot team that maintain security. M.S. thesis, Department of Computer Science, San Diego State University

  • Everett HR (2010) A brief history of robotics in physical security. Space and Naval Warfare Systems Center, San Diego, Robotics Publications, available at http://www.spawar.navy.mil/robots/land/robart/history.html

  • Everett HR, Gage DW (1999) From laboratory to warehouse: security robots meet the real world. Int J Robot Res 18(7): 760–768

    Article  Google Scholar 

  • Gerkey GP, Mataric MJ (2004) A formal analysis and taxonomy of task allocation in mult-robot sysyems. Int J Robot Res 23(9): 939–954

    Article  Google Scholar 

  • Kazadi S, Abdul-Khaliq A, Goodman R (2002) On the convergence of puck clustering systems. Robot Auton Syst 32(2): 93–117

    Article  Google Scholar 

  • Lerman K, Martinoli A, Galstyan A (2005) A review of probabilistic macroscopic models for swarm robotic systems. In: Sahin E, Spears W (eds) Swarm robotics workshop, Lecture Notes in Computer Science, vol 3342. Springer, Berlin, pp 143–152

    Google Scholar 

  • Lerman K, Jones C, Galstyan A, Mataric MJ (2006) Anaysis of dynamic task allocation in multi-robot systems. Int J Robot Res 25(3): 225–241

    Article  Google Scholar 

  • Murphy R (2000) Introduction to AI robotics. MIT Press, Cambridge, MA

    Google Scholar 

  • Parker LE (2002) Distributed algorithms for multi-robot observation of multiple moving targets. Auton Robots 12: 231–255

    Article  MATH  Google Scholar 

  • Rusu RB (2004) Robotux, a multi-agent robot based security system. International conference on automation, quality and testing, robotics, May 2004, Cluj-Napoca, Romania

  • Salemi B, Shen W-M, Will P (2001) Hormone-controlled metamorphic robots. In: Proceedings of international conference on robotics and automation, pp 4194–4199

  • Su KL, Chien TL, Guo JH (2004) Design of low cost security robot applying in family. International conference on autonomous robots and agents. Palmerstn North, New Zealand, pp 367–372

Download references

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Correspondence to Malrey Lee.

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An erratum to this article can be found at http://dx.doi.org/10.1007/s10462-010-9173-y

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Lee, M., Tarokh, M. & Cross, M. Fuzzy logic decision making for multi-robot security systems. Artif Intell Rev 34, 177–194 (2010). https://doi.org/10.1007/s10462-010-9168-8

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  • DOI: https://doi.org/10.1007/s10462-010-9168-8

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