基于协同进化计算的多机器人回避

Huaqing Min, XiJing Zheng, Yansheng Lu
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引用次数: 1

摘要

在激烈的机器人足球比赛中,进攻机器人(AR)的主要进攻策略是避开对手的威胁,同时避开对手最具威胁的防守机器人到达目标,并在合作机器人(CR)的帮助下有效地发起进攻。本文定义了攻击模型和协作模型及其算法。设计了机器人的两个协同进化计算种群:一个称为AR子集,另一个称为CR子集。在此基础上,本文提出了一种新的基于CEC的多机器人回避方法(简称MRACEC)。理论分析表明,MRACEC方法具有较好的鲁棒性和优化能力
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-robot avoidance based on co-evolution computation
The main attack strategy in an intense robotic soccer match is for an attack robot (AR) to avoid the competing side's threat and to avoid the most threatening defensive robot of the opponent to reach the objective and to effectively initiate an attack with the help of the cooperation robot (CR). This paper defines an attacking model and a cooperative model and their algorithms. Two co-evolution computation (CEC) populations of robot are also designed: one is denoted as AR subset, the other CR subset. Based on this definition, the paper proposes a new multiple robots avoidance based on CEC method (or MRACEC for short). A theoretical analysis indicates that the MRACEC method has better robustness and optimizing ability
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