Home /Research /Research on Mobile Robot Positioning and Navigation System Based on Multi-sensor Fusion
PERCEPTION

Research on Mobile Robot Positioning and Navigation System Based on Multi-sensor Fusion

Cheng He, Renjie Ma, Huaying Qu, Runwei Gu

Year
2020
Citations
5

Abstract

Abstract The mobile robot integrates walking and operation functions, which can greatly expand the application range of traditional industrial robots. Aiming at the shortcomings of single sensor positioning under unknown indoor environment, such as large accumulated error and environmental limitations, a multi-sensor fusion positioning navigation system is designed to improve the positioning accuracy of autonomous navigation of mobile robots. The mobile robot uses the laser sensor as the core sensor to obtain two-dimensional information of the environment and realize real-time display of algorithms and interfaces such as map construction, positioning and navigation. The data results of the indoor navigation experiment show that the system has good robustness. At the same time, the feasibility and reliability of the system are verified.

Keywords

Mobile robotMobile robot navigationSensor fusionComputer scienceRobustness (evolution)RobotReal-time computingNavigation systemComputer visionArtificial intelligence

Related papers

Browse all PERCEPTION papers