Development of an Intelligent Grey-RSS Navigation System for Mobile Robots

This study aims at developing an intelligent navigation system for mobile robots to eliminate the cumulative errors caused by using a conventional optical encoder. The optical encoder for mobile robots is supplanted by an intelligent Grey-RSS navigation system (IGRNS) with a RFID system embedded with a RSS (Received Signal Strength) location estimator and a Grey predictor for robot rotation angle prediction. The RFID system identifies the target with active RFID tag. The RSS location estimator then calculates the possible route of robot. The Grey controller optimizes the traveling route quickly. The simulation results show that the proposed IGRNS can reduce robot’s unstable rotation when locating the target. With IGRNS, the mobile robot takes fewer steps to reach target quickly. The performance of IGRNS is better than the one with the RSS navigation system alone.