Path Planning of Mobile Robot Based on Improved Artificial Potential Field Method-Reference-Cited by-同舟云学术

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Path Planning of Mobile Robot Based on Improved Artificial Potential Field Method

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 35th Chinese Control and Decision Conference (CCDC)
language:
Short-container-title:

Author:

Ni Jianyun¹,Du Helei²,Wang Tie³,Li Hao⁴,Xue Chenyang⁴

Affiliation:

1. Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems,Tianjin,China

2. Tianjin University of Technology,School of Electronic Engineering and Automation,Tianjin,China

3. Tianjin Climate Center,Tianjin,China

4. Tianjin University of Technology,Tianjin,China

Funder

Ministry of Education

Tianjin University of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327324.pdf?arnumber=10327324

Reference20 articles.

1. The hybrid path planning algorithm based on improved A* and artificial potential field for unmanned surface vehicle formations

2. Discrete Artificial Potential Field Approach to Mobile Robot Path Planning

3. Real-Time Obstacle Avoidance for Manipulators and Mobile Robots

4. Path planning of artificial potential field method based on simulated annealing algorithm;bingwei;Computer Engineering and Science,2022

5. Robot path planning based on B-spline curve and ant colony algorithm;erchao;Journal of Computer Applications,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Path Planning and Trajectory Tracking Control of Quadrotor Dragging System in Marine Environment;IEEE Access;2024

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