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.
Authors
- Yueqiu Jiang (ORCID: https://orcid.org/0000-0002-2519-0926)
- Jiaxuan Wu (ORCID: https://orcid.org/0000-0001-5743-0579)
- B. Liu (ORCID: https://orcid.org/0009-0006-0178-3790)
- Hongwei Gao (ORCID: https://orcid.org/0000-0002-7666-2970)
- Zhen Sun (ORCID: https://orcid.org/0009-0001-4751-1348)
Institutions
- Shenyang Ligong University (CN)
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
Funders
- State Key Laboratory of Robotics
- Technology Development