Low Cost Sensor Data Fusion in Omnidirectional Mobile Robot Feedback System to Improve the Navigation Accuracy

Omnidirectional mobile robot has gained popularity among researchers. However, omnidirectional mobile robot is rarely been applied in industry field especially in the factory which is relatively more dynamic than normal research setting condition. Hence, it is very important to have a stable yet reliable feedback system to allow a more efficient and better performance controller on the robot. In order to ensure the reliability of the robot, many researchers opt to use high cost solution in the feedback of the robot. Global camera is one of the popular high cost implementation in the existing technologies. However, this solution has increased the cost of the robot setup fee to a relatively high amount. There were also drawbacks of this setup system since it is difficult to modify and lack of flexibility. In this paper, a novel sensor fusion technique is proposed and the results showed that the technique is competently reliable and effective.