Competition of Multi Biomimetic Robots Bases on Accumulating Competition Neural Network

Author

Wang, Kun ; Bao, Hong ; Wang, Cong Si

Author_Institution

Minist. of Edu Key Lab. of Electron. Equip. Struct., XiDian Univ., Xi´´an, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

biomimetics; collision avoidance; multi-robot systems; neural nets; unsupervised learning; multibiomimetic robots competition; neural network; partial paths competition; robots collision avoidance; Biological control systems; Biomimetics; Collision avoidance; Electronic equipment; Marine animals; Motion planning; Neural networks; Organisms; Robot kinematics; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5363637

Filename

5363637