Improved RRT* path planning algorithm based on artificial potential field method-Reference-Cited by-同舟云学术

Improved RRT* path planning algorithm based on artificial potential field method

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)
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Author:

Chen Huimin¹,Dou Peilin¹,Wang Zhen¹,Zhang Huizhong¹

Affiliation:

1. School of Shipbuilding and Ocean Engineering, Jiangsu University of Science and Technology,Zhenjiang,Jiangsu,China

Publisher

IEEE

Link

Reference9 articles.

1. Multi-robot cooperative space exploration method Based on Fast Expanding Random Tree and greedy Boundary Search [J/OL];yuming;Robot,2022

2. Path Planning of RRT~* Mobile Robot Guided by Eddy Current Artificial Potential Field [J];kai;Computer Science and Exploration,2021

3. Mobile robot path planning based on improved RRT * algorithm [J];pei;Computer Engineering,2019

4. Reinforcement learning path planning Algorithm with potential field and trap search [J];peifang;Computer Engineering and Applications,2018

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