文章基本信息

标题：A cubic spline method combing improved particle swarm optimization for robot path planning in dynamic uncertain environment
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作者：Wen Li ; Mao Tan ; Ling Wang 等
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2020
卷号：17
期号：1
页码：1-12
DOI：10.1177/1729881419891661
出版社：SAGE Publications
摘要：This article considers a robot path planning problem originated from a robot factory inspection scenario. In the problem, the robot is in a dynamic uncertain environment, that is, a moving target object and several static and dynamic obstacles. An inertial positioning strategy is proposed to enable the robot to predict the position of the target in advance. From this predicted position, the robot path is generated by cubic spline interpolation, and then an improved particle swarm optimization algorithm with a random positive feedback factor in velocity updating optimizes the path. The experimental results show that the proposed method can successfully avoid the obstacles and reach the target object. In addition, the inertial positioning strategy and the improvement of particle swarm optimization can effectively shorten the path of the robot.
关键词：Robot path planning; mobile robot; particle swarm optimization; cubic spline
其他关键词：Robot path planning ; mobile robot ; particle swarm optimization ; cubic spline