Abstract: This study described an Intelligent Navigation methodology of a nonholonomic mobile robot using Radio Frequency Identification Devices (RFID) which offers a promising alternative to various kinds of navigation strategy, such as the vision system, topological map and sensor fusion etc., that have been currently employed in this field. This study provides a novel solution that employs the use of received signal strength indication of an RFID tags in the 2D plane based on which the robot plan its path in its 2D workspace. The robots plans its path based on the range estimated by the use of RSSI between the tag and the receiver mounted on the robot. A probabilistic threshold model is used to estimate the proximity between the tag and the robot, by which the robot moves to the tag in-line and repeats itself until the last tag is reached, in the workspace. The average path errors were estimated to be ±2% and the proximity error was estimated as ±3% through experimental investigations. This proposed solution offers a cost effective, modular and computationally efficient navigation technique for large robotic applications which are employed for tightly couple tasks in an unknown workspace.