Research on obstacle avoidance planning of explosion-proof AGV unmanned factory

Explosion-proof AGV has gained increasing attention for meeting the demands of "man-machine isolation, machine replacement, and black light factory". Although widely utilized in unmanned factories for tasks such as transportation and workpiece handling, the dynamic nature of transportation processes, characterized by obstacles and path alterations, necessitates real-time path updates to ensure the smooth operation of AGV vehicles. This paper introduces the fundamental principles of the A* algorithm and proposes an enhanced version to address these challenges. Through simulations and experiments, various obstacle avoidance algorithms based on A* are demonstrated to be both feasible and effective.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/spic62469.2024.10691547
Citations
1
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
0.33

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Research on obstacle avoidance planning of explosion-proof AGV unmanned factory

Yueqiu Jiang, Jiaxuan Wu, B. Liu, Hongwei Gao et al.
1 citations
Industrial Technology and Control Systems
0.33
article

Research on obstacle avoidance planning of explosion-proof AGV unmanned factory

Yueqiu Jiang, Jiaxuan Wu, B. Liu, Hongwei Gao, Zhen Sun
article en
1 citations

Abstract

Explosion-proof AGV has gained increasing attention for meeting the demands of "man-machine isolation, machine replacement, and black light factory". Although widely utilized in unmanned factories for tasks such as transportation and workpiece handling, the dynamic nature of transportation processes, characterized by obstacles and path alterations, necessitates real-time path updates to ensure the smooth operation of AGV vehicles. This paper introduces the fundamental principles of the A* algorithm and proposes an enhanced version to address these challenges. Through simulations and experiments, various obstacle avoidance algorithms based on A* are demonstrated to be both feasible and effective.

Shenyang Ligong University (CN)
State Key Laboratory of Robotics, Technology Development
Sustainable cities and communities
Openalex Percentile: Top 41%
Industrial Technology and Control Systems
0.33
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