摘要
移动机器人路径规划是建立在机器人定位与避障研究之上,进一步对机器人行为的深入.在给出人工神经网络(ANN)、模糊逻辑(FL)、遗传算法(GA)等计算智能原理性方法的基础上,从一般意义讨论了各类计算智能方法用于路径规划的切入点,研究了各类算法的实现机理与设计思想.最后结合目前的技术发展趋势,对路径规划问题未来可能的研究发展方向进行了探讨.
Path planning focuses on further behavior control,which is based upon the positioning and obstacle avoidance capabilities of mobile robots.The theoretical descriptions of some computational intelligence methods,including artificial neural networks（ANN）,fuzzy logic（FL）,and genetic algorithms（GA）,were presented in sequence,and the joint between each solution and path planning method was analyzed in a general sense.Moreover,the realization principles and design schemes of these strategies were researched elaborately.Eventually,considering the evolution trend,the possible future direction of path planning was also discussed.
出处
《智能系统学报》
2011年第2期160-165,共6页
CAAI Transactions on Intelligent Systems
基金
黑龙江省自然科学基金资助项目(F200917)
黑龙江省教育厅科学技术研究资助项目上(11553046)
关键词
计算智能
路径规划
模糊逻辑
人工神经网络
遗传算法
computational intelligence
path planning
fuzzy logic
artificial neural network
genetic algorithm
