Multi-Attribute Utility Analysis in the Choice of Vision-Based Robot Controllers
Nicholas Gans, Seth Hutchinson · International Journal of Optomechatronics · 2008
Multi-attribute utility analysis is an ideal tool for comparing the disparate performance of multiple visual servo controllers. Its strength lies in the fact that very different metrics can be compared and that it takes into account human preferences and risk attitudes. In this article, multi-attribute utility analysis is used to choose between multiple visual servo controllers and choices of camera lenses. The resulting visual servo controllers are suited to the needs of a specific user for specific tasks.