Recognition and simulation of wushu training behavior based on virtual reality technology

Path tracking of mobile robots refers to the process of autonomously moving toward a target in an environment with obstacles. In the navigation process, a mobile robot has to conduct an accurate modeling of the environment, achieving the location of the pose and planning the optimal path from the starting point to the target point. To improve the accuracy and efficiency of path tracking for a dual-differential-drive mobile robot, hybrid control law is proposed in this paper. The local path information is integrated with the initialization of pheromones and the selected probabilities of the paths, resulting in an improvement in convergence speed. To overcome stagnation, crossover operation is drawn into the proposed algorithm, which enhances the capability of escaping the stagnation phenomenon. The proposed method improves the path tracking efficiency and performance of mobile robots.