Research Article

Investigation and Future Directions of the Intelligent Workshop AGV Path Planning Algorithm

Abstract: One of the main algorithms used by automatic guided vehicles (AGVs) to carry out the autonomous work of an intelligent workshop is the path planning algorithm. The study status of the Viewable technique and Grid method in domestic and international environment modelling is presented. Analysed and contrasted with intelligent algorithms like particle swarm optimisation, ant colony algorithm, and genetic algorithm are the research findings of conventional path search algorithms like artificial potential field technique, Dijstra algorithm, and A* algorithm. As a result, research will concentrate on fusing intelligent and conventional algorithms to increase the operational effectiveness and effective obstacle avoidance of AGVs, beginning with algorithm enhancement. In conclusion, the present study trend in AGV route planning research is confronted with the issues of intelligent development and integrated development. Future studies could take into account enhancing algorithm performance and integrating it with cutting-edge innovations like artificial intelligence.