Recent Advances in Mobile Robot Localization in Complex Scenarios

Abstract

Mobile robot localization refers to the process in which the robot body determines its localization in unknown environments. As a key part of automatic navigation technology, localization needs to be accurate and robust in the working environment of the robot. However, most mobile robots are required to operate in a complex environment due to the requirements of work. In this case, the traditional localization method is not easy to ensure the accuracy and robustness of localization. Therefore, it is necessary to research the localization of mobile robots in complex scenes. In this paper, the localization methods of mobile robots in complex scenes in recent years are reviewed, which are mainly divided into two categories: localization based on traditional fusion algorithm and localization based on deep learning algorithm. This paper summarizes the latest research progress of mobile robot localization in complex scenes in detail, and discusses its future development trend.