The Design of FIRA Based on the Dynamic Role Assignment Strategy

Yu Feng Wang; Li Di Wang; Ting Zhe Zhou

doi:10.4028/www.scientific.net/AMM.143-144.274

Paper Titles

Simulation of Slope Stability
p.255

Study on Power Balance Control in Full Hybrid System
p.259

Inverse Kinematics Analysis of 5-DOF Robot Manipulators Based on Virtual Joint Method
p.265

Motion Control of Mobile Robot Based on Immune Clonal Algorithm Evolved by Virus
p.269

The Design of FIRA Based on the Dynamic Role Assignment Strategy
p.274

Bin Packing Solution for Automated Packaging Application
p.279

Evolutionary Algorithm for Microphone Array Optimization
p.287

Research on Anti-Swing Control of Bridge Crane Based on Fuzzy Control
p.293

RETRACTED: Certifiable Theory for Lambda calculus
p.297

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 143-144The Design of FIRA Based on the Dynamic Role...

The Design of FIRA Based on the Dynamic Role Assignment Strategy

Abstract:

Robot Soccer provides a good experimental platform for the automatic control, artificial intelligence, robotics and other researches. A soccer robot system is also a typical multi-agent systems(MAS). Every robot in a soccer team is an agent,so the collaboration between agents, the rational apportionment of the robots' roles and the capacity for actions of the robots is the key to winning game. We present a strategy which is based on dynamic programming algorithm and genetic algorithm. Every robot has fitness to each role through which to carry out the dynamic role assignment, meanwhile, the parameters of the fitness functions could be optimized by genetic algorithm.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 143-144)

Pages:

274-278

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.143-144.274

Citation:

Cite this paper

Online since:

December 2011

Authors:

Yu Feng Wang, Li Di Wang, Ting Zhe Zhou

Keywords:

Dynamic Role Assignment, Fitness Functions, Genetic Algorithm (GA), Programming Algorithm

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Z. Liu: Theory and Practice of Robot Soccer. (2008).

Google Scholar

[2] X.Z. Wang, S.Y. Yu, Y.H. Long: The Role of the Robot Soccer Team Dynamic Allocation Strategy[J]. Journal of Harbin Institute of Technology. (2004).

Google Scholar

[3] W.F. Xia, M.R. Fei: Genetic Algorithm and its Application in the Robocup[J]. Principle of the System. 2002, 6/6, pp.707-709.

Google Scholar

[4] Y. Li, C.Y. Shi: BDI-based Football Agent and TH-Soccer Platform[J]. Computer Research and Development. 2001, 38(1): 911-915.

Google Scholar

[5] L.J. Wu, Y.R. Zhai, X.H. Xu: the Design of Role Assignment Policy of Soccer Robot System [J]. Basic Automation. 2000, 7(1): 4-6.

Google Scholar

[6] B.L. Zhong, C.Z. Chen, Y.M. Yang: Petri-net Based Role of the Robot Soccer[J]. Computer Engineering and Applications. 2001, 20: 14-15.

Google Scholar

[7] S.H. KIM, J.S. CHIO , J.K. KIM. et al: A Cooperative Micro-robot System Playing Soccer: Design and Implementation[J]. Robotics and Autonomous Systems. 1997, 21 : 177- 189.

DOI: 10.1016/s0921-8890(97)00025-0

Google Scholar

[8] D.L. Gu, W.D. Chen, Y.G. Xi: Robot Soccer In the Division of Tasks Based On Reinforcement Learning [J]. Robots. 2000, 22(6): 482-289.

Google Scholar

[9] Y. Li: RoboCup Single Parent Genetic Algorithm Based On Dynamic Role Assignment[J]. Computer Technology and Automation. (2010).

Google Scholar