The robotic manipulator's control process involves many
engineering challenges from mechanical design phase to the phase
of programming. The inverse kinematics problem is one of the most
difficult challenges, as it requires determining the angles
of joints
for a desired position of the end-effector, the difficulty of this
problem comes from the none linearity and the possibility of
multiple solutions or lack of solutions in some cases. Many
solutions were proposed to solve the issue of inverse kinematics;
analytically and numerically in addition to the solutions which
based on artificial intelligence. In this research the solution of
inverse kinematics using Adaptive Neuro-Fuzzy Inference System
was discussed and amendments were proposed and indicated their
usefulness.
