基于快速探索随机树的改进运动规划算法综述

Yixin Wang, Xiaojun Yu, Chuan Yu, Zeming Fan
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引用次数: 1

摘要

本文主要总结和介绍了近年来国内外学者针对快速探索随机树在机械臂上的应用所提出的改进方案。本文首先简要介绍了现有的路径规划算法,并阐述了它们的优缺点。然后描述了快速探索随机树的原理和过程,并对三维空间中的RRT算法进行了仿真分析。接下来,对国内外研究者提出的改进的RRT算法进行分类、分析和解释。最后,对全文进行了总结,并对今后机械手运动规划算法的发展和研究方向进行了展望。
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Improved Motion Planning Algorithms Based on Rapidly-exploring Random Tree: A Review
This paper mainly summarizes and introduces the improvements proposed by scholars at home and abroad in recent years for the application of Rapidly-exploring Random Tree in robot arms. This paper first briefly introduces the existing path planning algorithms and expounds their advantages and disadvantages. Then the principle and process of Rapidly-exploring Random Tree are described and the RRT algorithm in three-dimensional space is simulated and analyzed. Next, the improved RRT algorithm proposed by domestic and foreign researchers is classified, analyzed and explained. Finally, the whole article is summarized and the direction of future development and research of manipulator motion planning algorithms is prospected.
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