自主式机器人群体行为的进化计算实现

AN EVOLUTIONARY COMPUTATION APPROACH TO GROUP BEHAVIOR ACQUISITION IN AUTONOMOUS ROBOTS

摘要: 本文探讨机器人在特定任务下如何通过遗传算法选择合适的传感器和行为参数来进化出多个自主式移动机器人之间的优化群体行为．

Abstract: This paper attempts to show the interrelationship between the autonomy of individual mobile robots and the evolution of their group behavior.Towards this end,we demonstrate how a genetic algorithm can be applied to evolve some globally optimal group behavior among autonomous robots,by way of selecting the appropriate sensory and behavioral parameters as well as specific task configurations.