I am currently working with classical roboticists who insist on inverse kinematics, and what I (perhaps mistakenly) call the old way of thinking about robots accomplishing tasks. Much of the relatively recent research focuses on Robots using Brain models such as Multiple timescales (Artificial Intelligence models) that segment sequences and reproduce them, having learned them. The problem I face is this bunch of roboticists insist that a robot already knows the sequence, and training it to be reproduced is redundant, since a Robot can already reproduce the sequence anyway. How accurate would you rate this assessment of using AI in robotics? Are there any advantages of using AI to learn sequences for robot control?