Personal Care Robot Navigation System Based on Multi-sensor Fusion

Abstract

In recent years, intelligent elderly care equipment represented by personal care robots has gradually become a focus of academic research in various countries. A reliable navigation system is a foundation for personal care robots to perform complex tasks. Traditional nursing robots are difficult to apply to the real home living environment due to the simple operating environment of the navigation system. This paper proposes a personal care robot navigation system employed in a home environment, which uses a multi-sensor data fusion method to sense the surrounding environment information of the robot accurately. Thus, the robot able to perform complex navigation tasks in the home environment, reliably and stably. The navigation system is based on the seed robot hardware platform and ROS (Robot Operating System) operating system. Experimental results show that the navigation system can achieve reliable operation of personal care robots in complex home environments.