MA-RRT* Algorithm for Path Planning with Maximum Rotation Angle Constraint and Adaptive Crossing Threat Zone-Reference-Cited by-同舟云学术

MA-RRT* Algorithm for Path Planning with Maximum Rotation Angle Constraint and Adaptive Crossing Threat Zone

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
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Author:

Luo Jiong¹,Heng Yong²,Li Qi²,Hua Yongzhao³,Dong Xiwang¹,Ren Zhang¹

Affiliation:

1. School of Automation Science and Electrical Engineering, Science and Technology on Aircraft Control Laboratory, Beihang University,Beijing,P.R. China,100191

2. Beijing Institute of Electronic System Engineering,Beijing,PR China,100854

3. Institute of Artificial Intelligence, Beihang University,Beijing,P.R. China,100191

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240066.pdf?arnumber=10240066

Reference19 articles.

1. Sampling-based algorithms for optimal motion planning

2. Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning

3. A novel RRT*-based algorithm for motion planning in Dynamic environments

4. Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic

5. Global path planning using artificial potential fields;charles w;1989 IEEE International Conference on Robotics and Automation,0

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