Research on AGV path planning based on PSO-IACO algorithm

Research on Path Planning of Handling Robot in Chinese Medicine Factory

“…The first layer uses A* algorithm to carry out the shortest path planning in the global network, and the second layer uses RRT algorithm to solve the local path planning with conflicts. Li Yiming [3] proposed a chaotic sparrow algorithm based on the falling mechanism, which introduced variable scale chaos algorithm to improve the diversity of the initial population, used the falling mechanism to improve the randomness of the SSA algorithm, and finally used the Emmert difference to complete the smoothing process of path planning. At present, the difficulty for small and medium-sized Chinese medicine factories to establish an automated handling robot material transport system is how to quickly build a logistics and transportation scheduling system for the Chinese medicine factory workshop, and use information and intelligent transportation scheduling schemes to replace manual recording of material information, so as to achieve stable, reliable, safe and efficient transportation of goods by handling robots.…”