运动规划
计算机科学
路径(计算)
移动机器人
计算机视觉
人工智能
算法
机器人
计算机网络
作者
Henrik Lurz,Tobias Recker,Annika Raatz
标识
DOI:10.1007/978-3-031-74010-7_9
摘要
Abstract This paper presents a comparison of multiple global path planning algorithms regarding their usage in multi-robot systems. Most performance-based comparisons only focus on computation time and path length, which are not the most important indicators when transporting an object using a multi-robot formation. Therefore, we decided to add the distance to obstacles and curvature of the path as performance metrics to support the selection of a fitting global path planner for a multi-robot application. In the comparison, we included the PRM, RRT*, Relaxed A* and Voronoi path planning algorithms. Each algorithm performs a specified number of planning tasks and is evaluated by the planning success, path length, obstacle distance and curvature, which are visualized below.
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