服务机器人路径规划

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI:10.1109/WCMEIM56910.2022.10021507

Ruining Li

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引用次数: 0

摘要

路径规划是移动服务机器人导航的一个重要方面。路径规划存在时间效率低、内存占用大、局部最优、全局最优查找速度慢等问题。本文综述了服务机器人的三种主要路径规划算法及其扩展。首先是蚁群优化算法(Ant Colony Optimization, ACO)。第二种算法是粒子群算法(PSO)及其相关的混合算法。第三种是传统的快速探索随机树(RRT)算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Path Planning for Service Robots

Path Planning is an essential aspect of the navigation of mobile service robots. The problem of path planning includes low time efficiency, large memory cost, local optimum, and slow speed in finding the global optimum. This paper reviews three main path planning algorithms and their extensions for the service robots. The first one is Ant Colony Optimization (ACO). The second algorithm is Particle Swarm Optimization (PSO) and some hybrid PSO-related algorithms. The third one is a conventional algorithm named Rapidly Exploring Random Tree (RRT).

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2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)

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