Intelligent Robot Control with Personal Digital Assistants Using Fuzzy Logic and Neural Network

To control the mobile robot system with wired controller by manual is so easy but user must keep the status and movement of mobile robot all the time. It is more efficient to control the mobile robot with remote controller by automatically. The user does not need to know the current status of the robot or where it is. In this paper, we propose the intelligent robot control technique for mobile robot using the wireless and remote controller, personal digital assistants (PDA) that has an intelligent navigation algorithm such as fuzzy logic and neural network. With the proposed technique, the mobile robot can trace human at regular intervals by the remote control method with PDA without user’s manual command. The mobile robot can recognize the distances between it and human whom the robot must follow with both multi-ultrasonic sensors and PC-camera and then, can decide the direction and velocity of itself to keep the given regular distances. The proposed PDA control sys tem, which is intelligent and remote, can make user be free from the observation of the mobile robot to control the robot properly.