Research on Multi-Robot Map Merge Method Based on Prior Information in Logistics Environment

Due to the problems of low efficiency and low accuracy, single robot simultaneous localization and mapping(SLAM) technology has great limitations in practical applications.In the current large-scale and complex logistics environment, multi-robot simultaneous localization and mapping technology has greater advantages.This article studies the method of multi-robot map merge in the logistics environment using multiple robots with known prior information. Compared to traditional multi-robot map fusion algorithms, this method uses the location information and relative position relationships between multiple mobile robots as prior information to modify map merge. The experimental results demonstrate that this method improves mapping accuracy while retaining the speed of multi-robot mapping.