Research on the path planning of forklift AGV for railway emergency material storage
Aiming at the problem of optimal path planning for forklift AGV in the current intelligent material storage environment,based on the analysis and discussion of three common path planning optimization algorithms,this paper chooses the A*algorithm as the path planning method of forklift AGV for intelligent material storage environment,and introduces Manhattan distance model as the heuristic function,so as to improve the search efficiency of optimal path in material storage environment.According to the actual scenario of railway material warehouse,a real map is constructed and the path planning simulation experiment is conducted.The results show that the A*algorithm is ob-viously superior to the other two algorithms in terms of path search speed and work efficiency,and can find a shorter path more effectively,which provides a technical reference for the construction of intelligent unmanned warehouse in the material storage environment.
NETL
NSTL
万方数据
维普
