Muhammad T. Khan and Clarence W. de Silva


  1. [1] L.E. Parker, ALLIANCE: An architecture for fault tolerantmultirobot cooperation, IEEE Transaction on Robotic andAutomation, 14(2), 1998, 220–240.
  2. [2] S. Sathayanath and F. Sahin, Application of artificial immunesystem based intelligent multi agent model to mine detectionproblem, Proc. IEEE International Conference on System,Man, and Cybernetics, Hammamet, Tunisia, vol. 3, 6 pp.,October 2002.
  3. [3] R. Murphy, J.G Blitch, and J.L. Casper, Robocup/AAAIurban search and rescue events: Reality and competition, AIMagazine, 1(23), 2002, 37–42.
  4. [4] T. Huntsberger, P. Pirjanian, A. Trebi-Ollennu, H.D. Nayer,A.J., Ganino, M. Garrett, S.S. Joshi, and P.S. Schenker, CAM-POUT: A control architecture for tightly coupled coordina-tion of multirobot systems for planetary surface exploration,IEEE Transactions On System, Man, and Cybernetics, PartA: Systems and Humans, 33(5), 2003, 550–559.
  5. [5] M. Tahir Khan and C.W. de Silva, Immune system-inspireddynamic multi-robot coordination, Proc. 2009 ASME/IEEEInternational Conference on Mechatronics and Embedded Sys-tems and Applications, San Diego, CA, August 30–September03 2009, 37–43.
  6. [6] M. Tahir Khan and C.W. de Silva, Autonomous fault toler-ant multi-robot cooperation using artificial immune system,Proc. of IEEE International Conference on Automation andLogistics, 2008. ICAL 2008, Qingdao, China, September 2008,623–628.
  7. [7] N.K. Jerne, Towards a network theory of the immune system,Annuals of Immunology (Inst Pasteur), 125C(1/2), 1974, 373–389.
  8. [8] M.J. Mataric, M. Nilsson, and K.T. Simsarian, Cooperativemulti-robot box-pushing, Proc. IEEE/RSJ International Conf.on Human Robot Interaction and Cooperative Robots, Pitts-burgh, PA, 1995, 556–561.
  9. [9] N. Miyata, J. Ota, T. Arai, and H. Asama, Cooperative trans-port by multiple mobile robots in unknown static environments74sassociated with real-time task assignment, IEEE Transactionson Robotics and Automation, 18(5), 2002, 769–780.
  10. [10] Y. Wang and C.W. de Silva, An object transportation systemwith multiple robots and machine learning, Proc. IEEE/ACC,International Conference, Portland, OR, vol. 2, June 2005,1371–1376.
  11. [11] Y. Wang and C.W. de Silva, Sequential Q-learning withkalman filtering for multirobot cooperative transportation,IEEE/ASME Transactions on Mechatronic, 15(2), 2010.
  12. [12] C. Ronald Kube and E. Bonabeau, Cooperative transport byants and robots, Robotics and Autonomous Systems, 30(1),2000, 85–101.
  13. [13] H. Asama, K. Ozaki, A. Matsumoto, Y. Ishida, and I. Endo,Development of task assignment system using communicationfor multiple autonomous robots, Journal of Robotics andMechatronics, 4(2), 1992, 122–127.
  14. [14] L. Chaimowicz, M.F.M. Campos, and V. Kumar, Dynamic roleassignment for cooperative robots, Proc. IEEE InternationalConference on Robotics and Automation, Washington, DC,vol. 1, May 2002, 293–298.
  15. [15] M. Lee, Evolution of behaviours in autonomous robot usingartificial neural network and genetic algorithm, InformationSciences, 155(1–2), 2003, 43–60.
  16. [16] K. Zhao and J. Wang, Multi-robot cooperation and competitionwith genetic programming, Proc. European Conference onGenetic Programming, Scotland, UK, April 2000.
  17. [17] Z. liu, M.H. Ang Jr, W. Khoon, and G. Seah, Multi-robotconcurrent learning of fuzzy rules for cooperation, Proc. IEEEInternational Symposium on Computational Intelligence inRobotics and Automation, Espoo, Finland, June 2005.
  18. [18] W. Yen-Nien, L. Tsai-Sheng, and T. Teng-Fa, Plan onobstacle-avoiding path for mobile robots based on artificialimmune algorithm, Advances in Neural Networks. (New YorkBerlin/Heidelberg: Springer, 2007, 694–703).
  19. [19] A.M. Whitbrook and U. Aickelin, Idiotypic immune networksin mobile-robot control, IEEE Transactions on System, Man,and Cybernetics, Part B, 37(6), 2007, 1581–1598.
  20. [20] Y. Gao and Z. Luo, Dynamic task allocation method basedon immune system for cooperative robots, Proc. of 7th WorldCongress of Intelligent Control and Automation, Chongqing,China, June 2008, 1015–1020.
  21. [21] Y. Gao and W. Wei, A new multi-robot self-determinationcooperation method based on immune agent network, Proc.of IEEE Conference on Robotics and Automation, Barcelona,Spain, April 2005, 390–395.
  22. [22] H.Y.K. Lau and V.W.K. Wong, An immunity-based distributedmultiagent-control framework, IEEE Transactions on System,Man, and Cybernetics, Part A: System and Humans, 36(1),2006, 91–108.
  23. [23] L.E. Parker, Adaptive heterogeneous multi-robot teams, Neu-roComputing, Special Issue of NEURAP ’98: Neural Networksand Their Application, 1998, 75–92.
  24. [24] L.E. Parker, Lifelong adaptation in heterogenous multi-robotteams: Response to continual variations in individual robotperformance, Autonomous Robots, 8, 2000, 239–267.
  25. [25] B.P. Gerkey and M.J. Mataric Sold!: Auction methods formultirobot coordination, IEEE Transactions on Robotics andAutomation, 18(5), 2002, 758–768.
  26. [26] A.L. Christensen, R.O’Grady, and M. Dorigo, From firefliesto fault-tolerant swarms of robots, IEEE Transactions onEvelutionary Computing, 13(4), 2009, 754–766.
  27. [27] L. Iocche, D. Nardi, M. Piaggio, and A. Sgorbissa, Distributedcoordination in heterogeneous multi-robot systems, Journal ofAutonomous Robots, 15(2), 2003, 155–168.
  28. [28] D. Vail and M. Veloso, Dynamic multi-robot coordination,Multi-Robot Systems: From Swarm to Intelligent Automata,II, 2003, 87–98.
  29. [29] L.N. de Castro and J.I. Timmis, Artificial immune system asa novel soft computing paradigm, Soft Computing, 7(8), 2003,526–544.
  30. [30]
  31. [31] P.G.D. Siriwardana, M.T. Khan, and C.W. de Silva, Objectpose estimation for multi-robot cooperative object transporta-tion, Proc. 2009ASME/IEEE International Conference onMechatronics and Embedded Systems and Applications, SanDiego, CA, August 2009.

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