In this paper, a fusion of the improved particle swarm algorithm and proportional–integral–derivative control algorithm in path tracking is investigated to improve the accuracy and robustness of path tracking of automated guided trolleys in complex environments. A robot operating system is introduced to provide a modular solution for the automated guided trolley system, which simplifies the integration of system components and provides a framework for system upgrading and expansion.