Inverse Kinematics Using Neuro-Fuzzy Intelligent Technique for Robotic Manipulator

Inverse Kinematics of robotic manipulators is a complex task. For higher degree of freedom robotic manipulators, the algebra related to traditional approaches become highly complex. This has led to the usage of artificial intelligence techniques. In this paper, the hybrid combination of Neural Networks and Fuzzy Logic Intelligent Technique has been applied for 3 degree of freedom robotic manipulator. The variations of joint angles obtained in the results show the effective implementation of artificial intelligence.