Competition of Multi Biomimetic Robots Bases on Accumulating Competition Neural Network

Kun Wang, Hong Bao, Cong Si Wang · 2009

Competition is a basic characteristic of organisms. In this paper, competition is adopted in the control of multi biomimetic robots in order to make robots achieve tasks well. Basing on the theory of accumulating competition neural network, competition of paths and multi biomimetic robots is presented. By this method, optimal path can be found by the competition of partial paths. Collisions between robots are solved effectively and biomimetic robots can get destination in the least time. Phenomenon of congestion is avoided. The simulative results show the feasibility and effectiveness of this approach.

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