Self-organizing micro robotic system. (Biologically inspired immune network architecture and micro autonomous robotic system)

This paper proposes a control architecture of population balance for multiple robotic system which draws its inspiration from biological immune network architecture. Our architecture organizes suitable population balance against dynamic environment independently of any centralized control, whilst each robot decides its action without a global world model. This group strategy, suitable population balance, is organized as a side-effect of the interactions of the individual robots in the world.

[1]  I L Weissman,et al.  How the immune system develops. , 1993, Scientific American.

[2]  H. Asama Operation of cooperative multiple robots using communication in a decentralized robotic system , 1994, Proceedings of PerAc '94. From Perception to Action.

[3]  Ping Liang,et al.  Robotic morphogenesis , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[4]  M. Cooper,et al.  The development of the immune system. , 1974, Scientific American.

[5]  S. Kauffman,et al.  Adaptive Dynamic Networks as Models for the Immune System and Autocatalytic Sets , 1987, Annals of the New York Academy of Sciences.

[6]  Maja J. Matarić,et al.  Leaning to behave socially , 1994 .

[7]  Toshio Fukuda,et al.  Cellular Robotics and Micro Robotic Systems , 1994, World Scientific Series in Robotics and Intelligent Systems.

[8]  Satoshi Murata,et al.  Self Organization of a Mechanical System , 1994 .

[9]  M. Matarić Learning to Behave Socially , 1994 .

[10]  Jun Ota,et al.  Motion Planning of Multiple Mobile Robots , 1992 .

[11]  N. K. Jerne,et al.  The immune system. , 1973, Scientific American.