摘要
路径规划算法是移动机器人自主规划路径的关键,其性能的优劣决定了路径规划的质量,是当前移动机器人领域的一个研究热点。为系统了解移动机器人路径规划技术的研究现状,阐述了近年来国内外路径规划算法的使用和发展。依据移动机器人路径规划算法的智能程度,将其划分为传统非智规划算法、随机智能规划算法、仿生智能规划算法及人工智能规划算法。依据分类,介绍了各种算法近年来具有代表性的研究成果,对移动机器人路径规划算法的发展走向进行了展望,旨在帮助研究人员快速和全面了解该领域的发展动态。
Path planning algorithm is the key to autonomous path planning for mobile robots,and its performance determines the quality of path planning,which is a research hotspot in the field of mobile robots at present.In order to systematically understand the current research status of mobile robot path planning technology,the use and development of path planning algorithms at home and abroad in recent years are studied.Based on the intelligence degree of mobile robot path planning algorithms,they are classified into traditional non-intelligent planning algorithms,stochastic intelligent planning algorithms,bionic intelligent planning algorithms and Artificial Intelligent planning algorithms.Based on the classification,this paper introduces representative research results of various algorithms in recent years,and looks forward to the development direction of mobile robot path planning algorithms,aiming at helping researchers to quickly and comprehensively understand the development dynamics in this field.
作者
李忠林
罗邵屏
贾玉婷
LI Zhonglin;LUO Shaoping;JIA Yuting(Software Engineering Institute of Guangzhou,Guangzhou 510990,China;Guangdong Baiyun University,Guangzhou 510450,China)
出处
《现代信息科技》
2024年第19期184-188,共5页
Modern Information Technology
基金
广州软件学院2022年度校级科研项目(ky202203)。