Navigation of an Automated Guided Vehicle Based on Sugeno Inference Engine

This study presents the application of Sugeno inference engine to guide the navigation of an Automatic Guided Vehicle (AGV). In general, the input of the system is derived from the magnetic guided sensor. The sensor generates 8-bit data representing the current location of the AGV. The processed data is used as a command which direct the AGV navigation. The algorithm has been simulated and successfully tested with a maximum deviation of 2 cm off the target line. In addition, the method has been compared with a traditional technique which using if else method, resulting in the proposed technique outperform the traditional technique in term of speed, memory usage and efficiency. This study discusses in details the development of the technique and the code listing is also provided for further comment. The novelty of this technique is on its programmability and portability.