Multi-attribute utility analysis in the choice of vision-based robot controllers

Nicholas Gans, Seth Hutchinson

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)326-360
Number of pages35
JournalInternational Journal of Optomechatronics
Volume2
Issue number3
DOIs
StatePublished - 2008

ASJC Scopus subject areas

  • Instrumentation
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Multi-attribute utility analysis in the choice of vision-based robot controllers'. Together they form a unique fingerprint.

Cite this