Robotic Path Planning Strategy Based on Improved Artificial Potential Field
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9360950/9361056/09361212.pdf?arnumber=9361212
Cited by 18 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. MPC-based motion control of AGV with improved A* and artificial potential field;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-07-29
2. An Efficient Trajectory Planning Approach for Autonomous Ground Vehicles Using Improved Artificial Potential Field;Symmetry;2024-01-15
3. A path planning for cultural tourism service robot combining improved A* algorithm and dynamic window approach;Third International Conference on Control and Intelligent Robotics (ICCIR 2023);2023-12-01
4. A new dynamic planning for airport surface based on an improved artificial potential field algorithm in a connected aircraft environment;Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence;2023-11-24
5. DVT-Tree: Dynamic Visible Topology Tree for Efficient Mapless Navigation in Maze Environments;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
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