移动机器人路径规划算法分析

Analysis of Mobile Robot Path Planning Algorithm

随着人工智能技术的兴起和发展,移动机器人也被运用到各行各业。路径规划作为机器人技术中的重要组成部分之一,是实现移动机器人自主导航的关键技术,一直备受研究者的密切关注。路径规划的核心问题是路径规划算法,随着移动机器人所处的环境越来越复杂,对路径规划算法也提出了更高要求。针对路径规划算法的实现原理,总结了目前主流路径规划算法的研究现状,并根据各规划算法的特点,将算法分为传统路径规划算法、基于采样路径规划算法、智能仿生算法以及基于强化学习的算法。文章也围绕以上算法进行分析梳理,分析其优缺点以及改进方法,并针对现有路径规划算法的研究现状,对未来路径规划算法的发展进行展望,为路径规划的发展提供了一定的思路。

With the rise and development of artificial intelligence technology,mobile robots are also used in various industries.As one of the important components of robotics,path planning is a key technology to realize autonomous navigation of mobile robots and has been closely watched by researchers.The core problem of path planning is the path planning algorithm,and as the environment in which mobile robots are located becomes more and more complex,higher demands are placed on the path planning algorithm.Aiming at the implementation principle of path planning algorithm,the paper summarizes the current research status of mainstream path planning algorithm.According to the characteristics of each programming algorithm,the algorithm is divided into traditional path planning algorithm,sampling path planning algorithm,intelligent bionic algorithm and reinforcement learning-based algorithm.The article will also analyze and sort out the above algorithms,focusing on their advantages and disadvantages and improvement methods.According to the research status of the existing path planning algorithm,the development of the future path planning algorithm is prospected,which provides certain ideas for the development of path planning.