Web-based maze robot learning using fuzzy motion control system

In this study, a Web based maze robot system has been designed and implemented for solving different maze algorithms with the help of machine learning approaches. The robot system has a map-based heuristic maze solving algorithm. The algorithm used for solving the maze is based on map creation and produces a control signal for robot direction. Robot motions were controlled by a fuzzy motion control system running on a chip. The control algorithm can be easily changed with the help of an algorithm via web interface controlled by the control center. The control center program powered by MATLAB functions and special libraries (image and control) in DELPHI manage all robotic activities. These activities are: command interpreter, image capturing, processing and serving, machine learning techniques, Web serving, database management, communication with robot, and compiling microcontroller programs. The results have shown that the proposed, designed and implemented system provides amazing new features to the applicants doing their real-time programming exercises on Web.