Zindhu.S, Swapna. N
Fuzzy controllers exhibit a simple and robust framework for specifying control laws that accommodate uncertainty and imprecision. Autonomous robot systems require complex control systems. The results showed that Fuzzy Logic uses less memory than binary logic and is much easier to design, although more difficult to program initially. Fuzzy Logic can control more functions of the robot and has greater processing capabilities [1]. The power, ease of use, and small size of Fuzzy Logic instructions make Fuzzy Logic a practical solution to autonomous robotic control systems. The three applications of fuzzy logic for robotic systems are presented. The basic behaviors developed in this research are designed based on fuzzy control techniques and are integrated and coordinated to from complex robotics system. A robot task can be defined by the user and executed by the intelligent robot control system.
Fuzzy Logic method; Robot, Manipulator, Controller, Mobile Robot Controls.