UAV Path Planning Based on Improved Artificial Potential Field Method
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 +4 more
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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 +4 more
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Research on Autonomous Vehicle Path Planning Algorithm Based on Improved RRT* Algorithm and Artificial Potential Field Method [PDF]
For the RRT* algorithm, there are problems such as greater randomness, longer time consumption, more redundant nodes, and inability to perform local obstacle avoidance when encountering unknown obstacles in the path planning process of autonomous ...
Xiang Li, Gang Li, Zijian Bian
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Reliable Path Planning Algorithm Based on Improved Artificial Potential Field Method
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
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Quantum-enhanced artificial potential field method for robust drone swarm shape formation [PDF]
Distributed coordination of a swarm of drones is one of the inherent open problems in autonomous aerial robotics, as classical approaches suffer from slow convergence and poor resilience to disturbances. In this paper, an efficient and robust approach to
Ihab Almaameri, László Blázovics
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Improved Artificial Potential Field Method for UAV Path Planning
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 +6 more
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A New Hybrid Reinforcement Learning with Artificial Potential Field Method for UAV Target Search [PDF]
Autonomous navigation and target search for unmanned aerial vehicles (UAVs) have extensive application potential in search and rescue, surveillance, and environmental monitoring.
Fang Jin +5 more
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Improved Artificial Potential Field Method for Dual-manipulator Path Planning Algorithm
Aiming at the problem that the traditional artificial potential field method cannot constrain the overall posture of the dual manipulator system when planning the path of the dual manipulator system,and it is easy to fall into the local extreme point,the
Haonan Ma, Zhian Zhang, Qingliang Li
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Modified artificial potential field method for online path planning applications [PDF]
This paper presents a modified potential field method for robot navigation. The approach overcomes the wellknown artificial potential field (APF) method issue, which is due to local minima that induce the standard APF method to trap in. Thus, the standard APF method is no longer useful insuch case.
Bounini, Farid +3 more
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Path Planning for Autonomous Ships: A Hybrid Approach Based on Improved APF and Modified VO Methods
In this research, a hybrid approach for path planning of autonomous ships that generates both global and local paths, respectively, is proposed. The global path is obtained via an improved artificial potential field (APF) method, which makes up for the ...
Liang Zhang +3 more
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