Heterogeneous multi-robot Task Allocation method based on the ant algorithm and classification
In order to solve task allocation problems of heterogeneous multi-robot systems, a method of classifying robots is proposed. The method defines the parameters of executive function configuration for robots and the parameters of the function required for the subtasks. Robots are classified through comparing these two parameters so that robots with the right features execute the right subtasks. Based on this classified method, a novel the ant algorithm and classification method is proposed. Simulation results show it can achieve complex task allocation effectively with the help of multi-robot systems.
heterogeneous multi-robot task allocation the ant algorithm classification cooperation
Zhang Yi Liu Lu
Research Center of Intelligent System and Robotics Chongqing University of Posts and Telecommunications Chongqing China
国际会议
2008 Sino-European Workshop on Intelligent Robots and Systems(SEIROS08)(第一届中欧智能系统及机器人国际学术研讨会)
重庆
英文
1-6
2008-12-11(万方平台首次上网日期,不代表论文的发表时间)