AGV Path Planning in Specific Scenarios Based on Improved $\mathrm{A}^{\ast}$ Algorithm
Haoyi Song · 2024
Automatic guided vehicle (AGV) is an important part of modern logistics system, and its path planning is the focus of research. In this paper, an AGV path planning method based on improved$\mathbf{A}^{\ast}$algorithm is proposed, which focuses on the problem solving of specific practical scenarios. The weight function of the improved$\mathbf{A}^{\ast}$algorithm is designed according to the actual scenario, and the weight function is added to the priority function of the traditional$\mathbf{A}^{\ast}$algorithm, which can reduce the number of points to be calculated and improve the speed of path search while retaining the quality of the search path. The simulation results show that the improved algorithm only needs to calculate about 42% of the points of the traditional$\mathbf{A}^{\ast}$algorithm when dealing with the AGV path planning problem, thus improving the speed of AGV path search.