Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—Autonomous mobile robots have been increasingly used in various applications within indoor environment notably for inventory and asset tracking in warehouses. Radio Frequency Identification (RFID) is one of the approaches considered for many related applications due to its automated recognition of objects and high penetrability through a wide range of materials. This paper proposes a technique for autonomous mobile robot navigation via RFID signal strength sensing where the robot is tasked to move towards a target object without knowing its current location. Both the robot and the target object are equipped with IEEE 802.15.4 based wireless sensor network modules which allow a point-to- point networking during the navigation. A set of experiments have been designed which include different initial heading angles of the robot with respect to the goal. The experimental results show good performance with an average steady-state error of no more than 28cm within a navigation area of approximately 7m × 7m, while for the time taken to reach the goal, the duration varies between 176s and 236s.
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