Results 61 to 70 of about 937 (157)

Research on path planning for coal mine rescue robots

open access: yesGong-kuang zidonghua
This paper proposes a path planning method for coal mine rescue robots based on a Hierarchical Smooth Optimization Bidirectional A* guided dynamic window approach (HSTA*-G-DWA) algorithm.
ZHU Hongbo, YIN Hongliang
doaj   +1 more source

A Novel 2-D Data-Weighted-Averaging Technique for Low-Power High-Resolution Zoom ADC

open access: yesIEEE Access
This paper presents a 2-dimention (2-D) data weighted averaging (DWA) technique for high-resolution zoom analog-digital converter (ADC) design. The resolution, dynamic range and power-efficiency of zoom ADC can be improved by employing higher-resolution ...
Yifu Guo   +4 more
doaj   +1 more source

Dynamic Path Planning Method for Unmanned Surface Vessels in Complex Traffic Conditions of Island Reefs Waters

open access: yesDrones
Unmanned Surface Vehicles (USVs) operating in complex traffic conditions in island reef waters often require different types of algorithms. Therefore, selecting a dynamic path-planning algorithm with strong adaptability has become a new challenge.
Jing Peng, Xinyuan Zhao, Qi Zhao
doaj   +1 more source

Integrated path planning for AUV communication efficiency and obstacle avoidance based on ant colony optimization and three-dimensional dynamic window algorithm

open access: yesApplied Ocean Research
In tasks such as deep-sea exploration, underwater resource surveying, and archaeological excavation, autonomous underwater vehicles (AUVs) significantly improve the success rate of missions while lowering costs and safety risks.
Xiaoyu Yuan   +3 more
doaj   +1 more source

Research on fusing improved A* and adaptive DWA path planning algorithms

open access: yes
Abstract To satisfy the performance requirements of robot path planning, an algorithm combining the improved A* algorithm and the improved Dynamic Window Approach (DWA) is proposed, which results in shorter path lengths, improved search efficiency, and path smoothness.
YIKUI LIAO, ZHITE WANG, YIQUAN QIN
openaire   +1 more source

Path Planning for Mobile Robots Based on the Fusion of Improved A* Algorithm and Improved DWA Algorithm

open access: yesJournal of Computers
An improved path planning algorithm fusing a modified A* algorithm and an enhanced Dynamic Window Approach (DWA) is proposed to address the issues of low search efficiency and poor smoothness in mobile robot path planning under complex maps, which are commonly observed in traditional A* and traditional DWA methods.
Peng Sun   +5 more
openaire   +1 more source

Autonomous walking path planning of underground handling robot based on improved A* and DWA algorithm

open access: yesMeitan kexue jishu
In view of the problems of many labors and low efficiency in the underground handling process, as well as the difficulties of many transport links, difficult transport operation and slow manual transport, the handling robot is taken as the research ...
Kekun ZHANG   +6 more
doaj   +1 more source

Research on AGV Path Planning Integrating an Improved A* Algorithm and DWA Algorithm

open access: yesApplied 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.
Wenpeng Sang   +3 more
doaj   +1 more source

An Improved DHA Star and ADA-DWA Fusion Algorithm for Robot Path Planning

open access: yesRobotics
The advancement of mobile robot technology has made path planning a necessary condition for autonomous navigation, but traditional algorithms have issues with efficiency and reliability in dynamic and unstructured environments. This study proposes a Dynamic Hybrid A* (DHA*)–Adaptive Dynamic Window Approach (ADA-DWA) fusion algorithm for efficient and ...
Yizhe Jia   +6 more
openaire   +2 more sources

CRGWO-DWA: A structured global–local collaborative planning framework for smooth UAV navigation in dynamic environments

open access: yesScientific Reports
UAV path planning in dynamic environments requires balancing global path quality, local obstacle avoidance, and motion smoothness. To address the premature convergence and unsmooth paths of the Grey Wolf Optimizer (GWO) and the local-optimum tendency and
Yong He   +3 more
doaj   +1 more source

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