Collision-Free Path Planning Method for Robots Based on an Improved Rapidly-Exploring Random Tree Algorithm

Collision-Free Path Planning Method for Robots Based on an Improved Rapidly-Exploring Random Tree Algorithm

Sampling-based methods are popular in the motion planning of robots, especially in high-dimensional spaces. Among the many such methods, the Rapidly-exploring Random Tree (RRT) algorithm has been widely used in multi-degree-of-freedom manipulators and has yielded good results. However, existing RRT...

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Bibliographic Details
Main Authors: Xinda Wang, Xiao Luo, Baoling Han, Yuhan Chen, Guanhao Liang, Kailin Zheng
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
rapidly-exploring random tree (rrt)
manipulator
motion planning
obstacle avoidance
complex environment
Online Access:https://www.mdpi.com/2076-3417/10/4/1381

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