基于全局/局部混合方法的类车机器人运动规划器

J. Laumond, M. Taïx, Paul E. Jacobs
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引用次数: 70

摘要

研究了一类类车机器人(即转弯半径为下界的非完整移动机器人)的运动规划问题。主要的贡献是在这样一个系统的配置空间R/sup 2/*S/sup 1/中引入了一个新的度量。这个度量是根据无障碍物情况下最短路径的长度来定义的。研究了新的诱导拓扑与经典拓扑之间的关系。这项研究为亚黎曼几何带来了新的理论问题,并为运动规划带来了实际的结果。特别是,他们证明了两种拓扑中邻域的包含关系,这是有效的局部避障方法的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A motion planner for car-like robots based on a mixed global/local approach
Deals with the problem of motion planning for a car-like robot (i.e. nonholonomic mobile robot whose turning radius is lower bounded). The main contribution is the introduction of a new metric in the configuration space R/sup 2/*S/sup 1/ of such a system. This metric is defined from the length of the shortest paths in the absence of obstacles. The authors study the relations between the new induced topology and the classical one. This study leads to new theoretical issues about sub-Riemannian geometry and to practical results for motion planning. In particular they prove an inclusion relation of neighbourhoods in both topologies, which is the basis of an efficient obstacle avoidance local method.<>
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