A SOM-BASED MULTI-AGENT ARCHITECTURE FOR MULTIROBOT SYSTEMS

A. Zhu and S.X. Yang

References

  1. [1] E. Nakano, S. Ozaki, T. Ishida, & I. Kato, Cooperational control of the anthropomorphous manipulator “melarm, Proc. 4th Int. Symp. Industry Robot, Tokyo, 1974, 251–260.
  2. [2] S. Fujii & S. Kurono, Coordinated computer control of a pair of manipulators, Proc. 4th IFToMM World Congress, Newcastle-upon-Tyne, UK, 1975, 411–417.
  3. [3] S. Hayati, Hybrid position/force control of multi-arm cooperating robots, IEEE Int. Conf. Robot Automation, San Francisco, CA, 1986, 82–89.
  4. [4] I.D. Walker, R.A. Freeman, & S.I. Marcus, Analysis of motion and internal force loading of objects grasped by multiple cooperating manipulators, International Journal of Robot Research, 10, 1991, 396–409. doi:10.1177/027836499101000408
  5. [5] B.J. Diressen, J.T. Feddema, & K.S. Kwok, Decentralized fuzzy control of multiple nonholonomic vehicles, Journal of Intelligent and Robotic Systems, 26, 1999, 65–78. doi:10.1023/A:1008178504755
  6. [6] L. Iocchi, D. Nardi, & M. Salerno, Balancing reactivity and social deliberation in multi-agent systems: From RoboCup to real-world applications, reactivity and deliberation: A survey on multirobot systems (Berlin: Springer-Verlag, 2001).
  7. [7] T. Balch, The impact of diversity on performance in multirobot foraging, Proc. Association for Computing Machinery International Conference on Autonomous Agents, Seattle, WA, May 1999, 92–99.
  8. [8] L.E. Parker & B.A. Emmons, Cooperative multirobot observation of multiple moving targets, Proc. Int. Conf. on Robotics and Automation, vol. 3, Albuquerque, NM, April 1997, 2082– 2089. doi:10.1109/ROBOT.1997.619270
  9. [9] C.R. Kube & E. Bonabeau, Cooperative transport by ants and robots, Robotics and Autonomous Systems, 30 (1–2), 2000, 85–101. doi:10.1016/S0921-8890(99)00066-4
  10. [10] L. Hughes, Grounded representations for a robots team, Proc. 2000 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, vol. 3, Takamatsu, Japan, November 2000, 2248–2253. doi:10.1109/IROS.2000.895303
  11. [11] P. Stone et al., Overview of RoboCup-2000, in RoboCup 2000: Robot Soccer World Cup IV, Melbourne, 2000, 1–28.
  12. [12] Y.U. Cao, A.S. Fukunaga, & A. Kahng, Cooperative mobile robotics: Antecedents and directions, Autonomous Robots, 4(1), 1997, 7–27. doi:10.1023/A:1008855018923
  13. [13] D. Dudek, M. Jenkin, E. Milios, & D. Wilkes, A taxonomy for multi-agent robotics, Autonomous Robots, 3(4), 1996, 375–397. doi:10.1007/BF00240651
  14. [14] P. Stone & M. Veloso, Multiagent systems: A survey from a machine learning perspective, Autonomous Robotics, 8(3), 2000, 345–383. doi:10.1023/A:1008942012299
  15. [15] J. Kim & P. Vadakkepat, Multi-agent systems: A survey from the robot-soccer perspective, International Journal of Intelligent Automation and Soft Computing, 6(1), 2000, 3–17.
  16. [16] T. Balch & R.C. Arkin, Communication in reactive multiagent robotic systems, Autonomous Robots, 1, 1994, 1–25. doi:10.1007/BF00735341
  17. [17] K.S. Kwok, B.J. Driessen, C.A. Phillips, & C.A. Tovey, Analyzing the multiple-target-multiple-agent scenario using optimal assignment algorithms, Journal of Intelligent and Robotic Systems, 35, 2002, 111–122. doi:10.1023/A:1020238115592
  18. [18] J. Wein & S.A. Zenios, Massively parallel auction algorithms for the assignment problem, Proc. 3rd Symp. on Frontiers of Massively Parallel Computation, College Park, MD, November 1990, 90–99. doi:10.1109/FMPC.1990.89444
  19. [19] P.C. Chu & J.E. Beasley, A genetic algorithm for the generalised assignment problem, Computers and Operations Research, 24(1), 1997, 17–23. 98 doi:10.1016/S0305-0548(96)00032-9
  20. [20] R. Akkiraju, P. Keskinocak, S. Murthy, & F. Wu, An agentbased approach for scheduling multiple machines, Applied Intelligence, 14, 2001, 135–144. doi:10.1023/A:1008363208898
  21. [21] T. Kohonen, Self-organizing formation of topologically correct feature maps, Biological Cybernetics, 43, 1982, 59–69. doi:10.1007/BF00337288
  22. [22] C.H.L.K.T. Song, Flexible real-time control of home robots using a multi-agent based approach, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, vol. 3, Sendal, Japan, August 2004, 3092–3097. doi:10.1109/IROS.2004.1389881
  23. [23] J. Wen, H. Xing, X. Luo, & J. Yan, Multi-agent based distributed control system for an intelligent robot, IEEE Int. Conf. on Services Computing, Shanghai, China, September 2004, 633–637.
  24. [24] R. Glasius, A. Komoda, & S.C.A.M. Gielen, Neural network dynamics for path planning and obstacle avoidance, Neural Networks, 8(1), 1995, 125–133. doi:10.1016/0893-6080(94)E0045-M
  25. [25] G. Oriolo, G. Ulivi, & M. Vendittelli, Real-time map building and navigation for autonomous robots in unknown environments, IEEE Trans. Systems, Man, and Cybernetics, Part B, 28(3), 1998, 316–333. doi:10.1109/3477.678626
  26. [26] S.X. Yang & M. Meng, Neural network approaches to dynamic collision-free trajectory generation, IEEE Trans. on Systems, Man, and Cybernetics, Part B, 31(3), 2001, 302–318. doi:10.1109/3477.931512

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