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

open access: yesSensors
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   +7 more
doaj   +2 more sources

Reliable Path Planning Algorithm Based on Improved Artificial Potential Field Method

open access: yesIEEE 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   +3 more sources

UAV Path Planning Based on Improved Artificial Potential Field Method

open access: yesAerospace, 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   +4 more
doaj   +3 more sources

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

open access: yesJournal 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   +4 more
doaj   +2 more sources

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

open access: yesSensors
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
doaj   +2 more sources

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

open access: yesFrontiers 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   +9 more
doaj   +1 more source

Active obstacle avoidance method of autonomous vehicle based on improved artificial potential field

open access: yesInternational Journal of Advanced Robotic Systems, 2022
Aiming at the local minimum point problem in an artificial potential field based on a safe distance model, this article proposes an algorithm for active obstacle avoidance path planning and tracking of autonomous vehicles using an improved artificial ...
Yijian Duan   +4 more
doaj   +1 more source

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

open access: yes2015 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   +3 more
openaire   +1 more source

Predicting Individual Trip Destinations with Artificial Potential Fields [PDF]

open access: yes, 2017
This paper presents a method to model the intended destination of a subject in real time, based on a trace of position information and prior knowledge of possible destinations. In contrast to most work in this field, it does so without the need for prior analysis of habitual travel patterns.
Zonta, A., Smit, S.K., Haasdijk, E.
openaire   +3 more sources

PK-APF: Path-Keeping Algorithm for USVs Based on Artificial Potential Field

open access: yesApplied Sciences, 2022
Path-keeping requires unmanned surface vehicles (USVs) to follow a planned path in autonomous navigation. It is essential for USVs to carry out autonomous tasks such as collecting various data of water quality and surrounding terrain for exploration and ...
Yijie Chu   +5 more
doaj   +1 more source

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