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An Improved Artificial Potential Field Method for Ship Path Planning Based on Artificial Potential Field—Mined Customary Navigation Routes

Journal of Marine Science and Engineering
In recent years, the artificial potential field has garnered significant attention in ship route planning and traffic flow simulation. However, the traditional artificial potential field method faces challenges in accurately simulating a ship’s customary
Yongfeng Suo, Xinyu Chen, Jie Yue, Shenhua Yang, Christophe Claramunt   +4 more
doaj   +4 more sources

Localized Path Planning for Mobile Robots Based on a Subarea-Artificial Potential Field Model [PDF]

Sensors
The artificial potential field method has efficient obstacle avoidance ability, but this traditional method suffers from local minima, unreasonable paths, and sudden changes in heading angles during obstacle avoidance, leading to rough paths and ...
Qiang Lv, Guoqiang Hao, Zhen Huang, Bin Li, Dandan Fu, Huanlong Zhao, Wei Chen, Sheng Chen   +7 more
doaj   +2 more sources

UAV Path Planning Based on Improved Artificial Potential Field Method

Aerospace, 2023
The obstacle avoidance system of a drone affects the quality of its flight path. The artificial potential field method can react quickly when facing obstacles; however, the traditional artificial potential field method lacks consideration of the position
Guoqiang Hao, Qiang Lv, Zhen Huang, Huanlong Zhao, Wei Chen   +4 more
doaj   +3 more sources

A New Hybrid Reinforcement Learning with Artificial Potential Field Method for UAV Target Search [PDF]

Sensors
Autonomous navigation and target search for unmanned aerial vehicles (UAVs) have extensive application potential in search and rescue, surveillance, and environmental monitoring.
Fang Jin, Zhihao Ye, Mengxue Li, Han Xiao, Weiliang Zeng, Long Wen   +5 more
doaj   +2 more sources

Manipulation-Compliant Artificial Potential Field and Deep Q-Network: Large Ships Path Planning Based on Deep Reinforcement Learning and Artificial Potential Field

Journal of Marine Science and Engineering
Enhancing the path planning capabilities of ships is crucial for ensuring navigation safety, saving time, and reducing energy consumption in complex maritime environments.
Weifeng Xu, Xiang Zhu, Xiaori Gao, Xiaoyong Li, Jianping Cao, Xiaoli Ren, Chengcheng Shao   +6 more
doaj   +3 more sources

Improved Artificial Potential Field Method for UAV Path Planning

IEEE Access
Path planning for uncrewed aerial vehicles (UAVs) is a core technology for autonomous navigation. The artificial potential field (APF) method, known for its computational efficiency and strong real-time performance, has been widely applied.
Qiang Han, Xingyuan Ma, Hanlin Liu, Yibo Xu, Yunxiang Xie, Qianguo Yang, Fanqin Meng   +6 more
doaj   +2 more sources

Artificial Potential Field Approaches for Indoor Mobile Robot Path Planning: A Review [PDF]

The Egyptian International Journal of Engineering Sciences and Technology, 2023
Path Planning is critical for a mobile robot (MR) to navigate safely towards its target position, without collision with the surrounding obstacles. There are many aspects that need to be considered in path planning; computation time, path smoothness, and
Ahmed Mohamed, Nesreen Ziedan, Tamer Gaafar   +2 more
doaj   +1 more source

Reliable Path Planning Algorithm Based on Improved Artificial Potential Field Method

IEEE Access, 2022
In order to solve the “minimum trap” of Artificial Potential Field and the limitation of traditional path planning algorithm in dynamic obstacle environment, a path planning algorithm based on improved artificial potential field is proposed.
Jie Luo, Zhong-Xun Wang, Kang-Lu Pan
doaj   +1 more source

Research on the local path planning of an orchard mowing robot based on an elliptic repulsion scope boundary constraint potential field method

Frontiers in Plant Science, 2023
In orchard scenes, the complex terrain environment will affect the operational safety of mowing robots. For this reason, this paper proposes an improved local path planning algorithm for an artificial potential field, which introduces the scope of an ...
Wenyu Zhang, Ye Zeng, Sifan Wang, Tao Wang, Haomin Li, Ke Fei, Xinrui Qiu, Runpeng Jiang, Jun Li, Jun Li   +9 more
doaj   +1 more source

A distributed foraging algorithm based on artificial potential field [PDF]

2015 12th International Symposium on Programming and Systems (ISPS), 2015
Simple collections of agents that perform collectively and use distributed control algorithms constitute the interests of swarm robotics. A key issue to improve system performances is to effectively coordinate the team of agents. We present in this paper a multi-agent foraging algorithm called Cooperative-Color Marking Foraging Agents (C-CMFA). It uses
Zedadra O, Seridi H, Jouandeau N, FORTINO, Giancarlo   +3 more
openaire   +1 more source