Localization of Industrial Robots Based on RGBD-SLAM

This paper investigates the localization of industrial robots based on RGBD-SLAM technology. Firstly, the basic principles and algorithmic process of RGBD-SLAM are introduced, including the calibration of internal and external parameters of the camera, feature extraction and matching of the image, map construction of the scene and trajectory estimation of the camera. Then a RGBD-SLAM-based robot localization method is proposed for industrial robots, which uses the RGBD camera held by the robot to acquire environmental information to achieve self-localization and modelling of the robot's scene. The method was then validated using experimental data. The results show that the method can achieve high accuracy in robot positioning and has good robustness and stability in complex scenarios. Finally, the paper discusses the prospects and outlook of the method in industrial robot applications. The study provides a new way and a new method for the localization and navigation of industrial robots.