The Traditional warehouse logistics AGV mobile robots generally are worked on the paved magnetic tracks, which results in the robot's carrying route is not the optimal route and work efficiency is low. An autonomous control algorithm for path planning based on ROS operating system was proposed in this paper. Based on the actual application scenario, the SLAM map of the warehouse environment operated by mobile robots was constructed, the traditional A* algorithm and DWA algorithm were improved and optimized, and the program was developed on the ROS development platform for experimental verification. Experimental results show that autonomous navigation, dynamic obstacle avoidance and path optimization can be effectively implemented by this method, and the effectiveness of the strategy is verified from the perspectives of the number of path turns, the total running time and the total running path length.