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Aiming at the problems of poor positioning accuracy of traditional navigation methods and unfixed path generated by path planning algorithm for AGV forklift with single steering wheel facing the complex working environment of printing shop, the fixed path under the complete environment map and the algorithm to improve navigation and positioning accuracy are studied and designed. As the positioning accuracy of single amcl (adaptive monte carlo positioning) algorithm can not meet the requirements of the operation, the higher precision cartographer positioning algorithm and PID algorithm are combined to control the tracking, which greatly improves the positioning and navigation accuracy. For the problem that the path planning algorithm under the conventional navigation framework will change the local path due to the obstacle avoidance behavior of AGV vehicles, thus changing the global path in the navigation process, resulting in collisions in a narrow workshop environment, a method combining Dijkstra algorithm to mark feature point composition is proposed to generate a fixed path consisting of straight lines and arc tracks for the PID control tracking of AGV forklifts, The fixed path planning is realized. The practice shows that this method solves the problems of traditional navigation method for AGV forklift with single steering wheel in the workshop environment, improves the safety and controllability, and improves the work efficiency.