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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/73512


    Title: A Generalized Framework of Dynamic Role Assignment for Robot Formation Control
    Authors: Chen, Yu-cheng;Wang, Yin-tien
    Contributors: 淡江大學機械與機電工程學系
    Keywords: Dynamic role assignment;Formation control;Multi-agent system;Obstacle avoidance
    Date: 2010-12
    Issue Date: 2011-10-27 22:05:49 (UTC+8)
    Publisher: Heidelberg: Springer
    Abstract: A dynamic role assignment algorithm is proposed in the paper for formation control of multiple mobile robots. The goal of the algorithm is to reassign a role for each robot automatically during a formation is forming or switching. Many formation control systems have been successfully implemented and validated by supporting experimental results. Nevertheless, this research aims at providing an efficient algorithm of role assignment for a class of formation control systems employing the concept of combinational optimization problems. Specifically, by exploring spatial relationship between robots and information of obstacles surrounding the robots, a character cost function is found to represent the degree of difficulty for a robot been assigned a specified role in a formation. Instead of using complex cost minimization procedure, a solution is provided by calculating the largest value of character set fitness, and a new formation is selected for robots accordingly. The developed algorithm is applied to the formation control of a group omni-directional driven robots. Simulation and experimentation are performed with real platform to verify the proposed algorithm and the results show that the performance of the proposed dynamic role assignment algorithm is efficient for robot formation control.
    Relation: International Journal of Control, Automation, and Systems 8(6), pp.1288-1295
    DOI: 10.1007/s12555-010-0614-9
    Appears in Collections:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Journal Article

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