Application of Slam Technology for Autonomous Mobile Robots in Complex Environments

Abstract

SLAM technology is widely used in many fields, such as whether it is possible to map the environment and determine the direction of progress while placing a robot in an unknown location in an unknown environment. On this basis, this paper studies the use of autonomous movement of robots in complex environments. This article will first introduce vision technology in dynamic environments and camera-based dynamic environmental sensor technology. Additionally, it will discuss parallel research on real time 3D map optimization and algorithm processing based on cameras. Secondly, the map construction and dynamic maintenance of mobile robots and how to improve the application of Road King tracking algorithm in robots are introduced. Finally, the multi-sensor laser mapping technology and algorithm of mobile robot are introduced. This research will significantly contribute to the development and application of mobile robots capable of processing complex information in challenging environments. The integration of these technologies and algorithms paves the way for more robust and adaptable autonomous navigation systems in real-world applications.