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Research on path planning of intelligent shopping cart in large shopping mall

The recovery and arrangement of shopping carts in large shopping malls need to invest a lot of manpower and financial resources, and its recovery efficiency is low. In order to achieve the purpose of self-driving and collision free recovery of shopping cart near work, an improved algorithm is proposed. The basic RRT algorithm takes the starting point of the intelligent shopping cart as the root node and adds the gravity component of the artificial potential field, and sets the node selection range, which overcomes the randomness of the random tree growth. The simulation experiments show that the improved algorithm has the characteristics of high obstacle avoidance, short search time and strong real-time.