Autoplay of the YouTube playlist for all videos in this chapter.  This description box will not be updated with information about each video as the videos advance.

This video introduces the inverse kinematics problem–finding a set of joint positions that yield a desired end-effector configuration–as well as two ways of solving the problem: analytically and by an iterative numerical method.

This video introduces the Newton-Raphson root-finding method for numerical inverse kinematics. The end-effector configuration is represented by a minimum set of coordinates. Representation of the end-effector configuration as a transformation matrix is covered in the next video.

This video applies the Newton-Raphson root-finding method for numerical inverse kinematics when the end-effector configuration is represented as a transformation matrix.