Time series modeling as an approach to automatic feedback control of robotic positioning errors

The author attempts to learn from, understand, and apply the use of a time series modeling approach to feedback control for improvement of the positioning capability in an industrial robotic positioning process. The underlying goal is to develop a generic process control methodology for use with various sensor-assisted, computer-controlled, automated industrial processes in the effort to understand, control, and improve their performance. While this quality control methodology may be transferable to different types of sensor-assisted automated equipment, the specific results obtained cannot be directly applied to the control of other similar robotic positioning applications.<>