Improved Hybrid Algorithm of Path Planning for Automated Guided Vehicle in Storage System
Jian Wang, Xinhua Zhu, Minhuan Guo, Surui Yao, Yan Su
Available Online June 2017.
- https://doi.org/10.2991/caai-17.2017.75How to use a DOI?
- automated guided vehicle; path planning; A* algorithm; APF algorithm; improved hybrid algorithm
- Aiming at the problem of automated guided vehicle path planning in storage system, this paper provided a new method which combines global path planning algorithm and local path planning algorithm to achieve the goal of finding the optimal path. In this paper, the improved A* algorithm is used as the global path planning algorithm, and the improved APF algorithm is used as the local path planning algorithm. The hybrid algorithm not only makes full use of the known information to generate the global optimal path, but also can effectively avoid obstacles on the path. The advantages and effectiveness of the hybrid algorithm are proved by the results of simulations and applications.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jian Wang AU - Xinhua Zhu AU - Minhuan Guo AU - Surui Yao AU - Yan Su PY - 2017/06 DA - 2017/06 TI - Improved Hybrid Algorithm of Path Planning for Automated Guided Vehicle in Storage System BT - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017) PB - Atlantis Press SP - 332 EP - 336 SN - 1951-6851 UR - https://doi.org/10.2991/caai-17.2017.75 DO - https://doi.org/10.2991/caai-17.2017.75 ID - Wang2017/06 ER -