Research on Robot Navigation Based on Multi-data Fusion using Bayesian Model

Abstract

Navigation and localization is one of the key technologies to mobile robots, as human beings, mobile robot need sensors to detect the surrounding environment and plan its path to implement various tasks. Single sensor has limitation and insufficiency, so it is effective to use multiple sensors data to get the reliable navigating. This paper proposed a method of multiple sensors data fusion based on Bayesian theory, the experimental results demonstrates the effectiveness and validity of the method.