Abstract
In recent years, the application of logistics robots has become an important means for logistics enterprises to compete in the market. Using logistics robots to pick or transport goods can effectively improve storage efficiency, and how to obtain the optimal path for logistics robots are the focuses of research. This paper introduces the research status and algorithm of logistics robot path planning, and analyzes the research trend and direction of logistics robot path planning technology according to different research. Automated navigation vehicles in logistics robots are developing rapidly, and the safety and efficiency of effective cooperation between AGS have been greatly improved. In terms of algorithms, the main algorithms currently used are A*, Q-learning and genetic algorithm, and the robot has achieved global path planning and path planning in a dynamic environment. At present, the main objective of scholars in robot path planning is to find the shortest walking path in the shortest time. However, in a diversified environment, the objective of robot path planning will be more specific and more realistic.
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