Results 21 to 30 of about 5,865 (215)

A Path Planning Method Based on Improved A* and Fuzzy Control DWA of Underground Mine Vehicles

Applied Sciences
In order to solve the problem of low safety and efficiency of underground mine vehicles, a path planning method for underground mine vehicles based on an improved A star (A*) and fuzzy control Dynamic Window Approach (DWA) is proposed.
Chuanwei Zhang, Xinyue Yang, Rui Zhou, Zhongyu Guo   +3 more
doaj   +3 more sources

Port environmental path planning based on key obstacles [PDF]

Scientific Reports
This paper proposes an improved hybrid algorithm for automated guided vehicles (AGVs) in port environments based on the concept of key obstacles for the JPS and DWA algorithms.
Guoliang Yang, Wenkai Xiong
doaj   +2 more sources

Path Planning: An Analytical Comparison of A* Algorithm Fusion DWA and Ant Colony Algorithm Fusion DWA

Highlights in Science, Engineering and Technology, 2023
In recent decades, the robotics sector has grown significantly, and the automation of industrial production and daily life has become a shared objective. In recent years, self-driving cars have emerged around the globe, but the majority are still in the research phase and very few are in use in developed regions, not only because of their cost, but ...
Ernuo Zhang
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Research on AGV Path Planning Integrating an Improved A* Algorithm and DWA Algorithm [PDF]

Applied Sciences
With the rapid development of the economy and the continuous improvement of people’s living standards, the printing and packaging industry plays an increasingly important role in people’s lives. The traditional printing industry is a discrete manufacturing industry, relying on a large amount of manpower and manual operation, low production efficiency ...
Wenpeng Sang, Yaoshun Yue, Kaiwei Zhai, Maohai Lin   +3 more
openalex   +3 more sources

Path planning for robots integrating improved A * and DWA algorithms [PDF]

AIP Conference Proceedings
Lingyu Du
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Path Planning of Robot Combing Safety A^* Algorithm and Dynamic Window Approach [PDF]

Jisuanji gongcheng, 2022
The A* algorithm relies on heuristic information to guide the search direction and is widely used for path planning of mobile robots.However, the search path of this algorithm has redundant nodes that are similar to obstacles, which prevent the algorithm
ZHAN Jingwu, HUANG Yiqing
doaj   +1 more source

Path Planning of Deep-Sea Landing Vehicle Based on the Safety Energy-Dynamic Window Approach Algorithm

Journal of Marine Science and Engineering, 2023
To ensure the safety and energy efficiency of autonomous sampling operations for a deep-sea landing vehicle (DSLV), the Safety Energy-Dynamic Window Approach (SE-DWA) algorithm was proposed.
Zuodong Pan, Wei Guo, Hongming Sun, Yue Zhou, Yanjun Lan   +4 more
doaj   +1 more source

Multi-UAV Cooperative Obstacle Avoidance of 3D Vector Field Histogram Plus and Dynamic Window Approach

Drones, 2023
In this paper, we propose a fusion algorithm that integrates the 3D vector field histogram plus (VFH+) algorithm and the improved dynamic window approach (DWA) algorithm.
Xinhua Wang, Mingyan Cheng, Shuai Zhang, Huajun Gong   +3 more
doaj   +1 more source

Electric Logistics Vehicle Path Planning Based on the Fusion of the Improved A-Star Algorithm and Dynamic Window Approach

World Electric Vehicle Journal, 2023
The study of path-planning algorithms is crucial for an electric logistics vehicle to reach its target point quickly and safely. In light of this, this work suggests a novel path-planning technique based on the improved A-star (A*) fusion dynamic window ...
Mengxue Yu, Qiang Luo, Haibao Wang, Yushu Lai   +3 more
doaj   +1 more source

Autonomous Navigation of Robots Based on the Improved Informed-RRT ∗ Algorithm and DWA [PDF]

J. Robotics, 2022
An improved method is proposed in this investigation to solve the problems of poor path quality and low navigation efficiency of the Informed-RRT∗ algorithm in robot autonomous navigation. First, the greedy algorithm is introduced in the path planning procedure.
Jun Dai, Dongfang Li, Zhao Jun-wei, Yanqin Li   +3 more
openalex   +3 more sources