Results 1 to 10 of about 165 (84)

Dynamic Path Planning for Forklift AGV Based on Smoothing A* and Improved DWA Hybrid Algorithm

Sensors, 2022
FAGV is a kind of heavy equipment in the storage environment. Its path needs to be simple and smooth and should be able to avoid sudden obstacles in the process of driving.
Bin Wu, Xiaonan Chi, Congcong Zhao, Wei Zhang, Yi Lu, Di Jiang   +5 more
doaj   +3 more sources

Research on Path Planning Algorithm of Driverless Ferry Vehicles Combining Improved A* and DWA

Sensors
In view of the fact that the global planning algorithm cannot avoid unknown dynamic and static obstacles and the local planning algorithm easily falls into local optimization in large-scale environments, an improved path planning algorithm based on the ...
Zhaohong Wang, Gang Li
doaj   +3 more sources

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

Smooth Optimised A*-Guided DWA for Mobile Robot Path Planning

Applied Sciences
In mobile robot path planning, the traditional A* algorithm suffers from high path redundancy and poor smoothness, while the Dynamic Window Approach (DWA) tends to deviate from the global optimal path and has low efficiency in avoiding dynamic obstacles ...
Liling Cao, Lei Tang, Shouqi Cao, Qing Sun, Guofeng Zhou   +4 more
doaj   +3 more sources

A Mobile Robot Path Planning Algorithm Based on Improved A* Algorithm and Dynamic Window Approach

IEEE Access, 2022
The traditional A* algorithm has several problems in practical applications, such as many path turning points, redundant nodes, and long running time. it is sometimes impossible to plan the theoretical optimal route.
Yonggang Li, Rencai Jin, Xiangrong Xu, Yuandi Qian, Haiyan Wang, Shanshan Xu, Zhixiong Wang   +6 more
doaj   +1 more source

Construction of Novel Self-Adaptive Dynamic Window Approach Combined With Fuzzy Neural Network in Complex Dynamic Environments

IEEE Access, 2022
The traditional Dynamic Window Approach (DWA) with constant weight values of the evaluation function leads to the inability of obstacle avoidance for the Automated Guided Vehicles (AGV) to perform obstacle avoidance and path planning in the complex ...
Dian Yang, Chen Su, Hang Wu, Xinxi Xu, Xiuguo Zhao   +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

Parameter Fuzzy Self-Adaptive Dynamic Window Approach for Local Path Planning of Wheeled Robot

IEEE Open Journal of Intelligent Transportation Systems, 2022
As a classic algorithm for realizing robot local path planning, the dynamic window approach (DWA) uses an objective function to choose the optimal velocity commands.
Lidan Xiang, Ximin Li, Hao Liu, Peng Li
doaj   +1 more source

An Automated Guided Vehicle Path Planning Algorithm Based on Improved A* and Dynamic Window Approach Fusion

Applied Sciences, 2023
Aimed at the problems of low search efficiency of the A* algorithm in global path planning, not considering the size of AGV and too many turns, and the DWA algorithm easily falling into local optimization, an AGV path planning algorithm based on improved
Tao Guo, Yunquan Sun, Yong Liu, Li Liu, Jing Lu   +4 more
doaj   +1 more source

Dynamic Path Planning of Mobile Robot Based on Improved Sparrow Search Algorithm

Biomimetics, 2023
Aiming at the shortcomings of the traditional sparrow search algorithm (SSA) in path planning, such as its high time-consumption, long path length, it being easy to collide with static obstacles and its inability to avoid dynamic obstacles, this paper ...
Lisang Liu, Jingrun Liang, Kaiqi Guo, Chengyang Ke, Dongwei He, Jian Chen   +5 more
doaj   +1 more source