移动机器人路径规划算法综述OA

Path planning algorithms are one of the key technologies for enabling autonomous navigation of mobile robots,and their performance determines the quality of path planning.To comprehensively understand the research status and development of mobile robot path planning algorithms,a systematic review of commonly used algorithms is conducted.Firstly,based on the characteristics of path planning algorithms,they are classified into traditional algorithms,sampling-based algorithms,artificial intelligence-based algorithms,and intelligent-biologically-inspired algorithms.Secondly,based on this classification,the algorithm principles and practical application scenarios are briefly introduced,with a focus on the research achievements of various algorithms in recent years,and the advantages and disadvantages of each algorithm are summarized and compared.Then,four algorithms are selected to verify the effectiveness of the algorithms in the same simulation environment.Finally,the future development trends of mobile robots are prospected to provide a reference for the research on mobile robot path planning.