Alan K. Mackworth's Publications

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Experimental Task Analysis

I. J. Mulligan and Alan K. Mackworth. Experimental Task Analysis. In Proceedings of the International Conference on Robotics and Automation, ICRA 1997, pp. 3348–3353, Albuquerque, NM, April 1997.

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Abstract

Rigorous analysis and evaluation of real implemented robotic systems for intelligent tasks are rarely performed. Such systems are often extremely complicated, dependang not only on interesting theoretical parameters and models, but on many assumptions and constants which may be set almost arbitrarily. We view all task implementations as particular parameterizations of the task goals they represent. Through fractional factorial experiments we establish the statistically signaficant parameters and parameter interactions for a sensorless model-based push-orienting task. This type of analysis is a necessary step to understanding integrated intelligent systems. It reveals aspects of system implementations which cannot easily be predicted in advance, and gives a clear picture of the task requirements, given the strengths and weaknesses of the observed system.

BibTeX

@InProceedings{ICRA97,
  author =	 {I. J. Mulligan and Alan K. Mackworth},
  title =	 {Experimental Task Analysis},
  year =	 {1997}, 
  month =        {April},
  booktitle =	 {Proceedings of the International Conference on Robotics and Automation, ICRA 1997},
  address =      {Albuquerque, NM},
  pages =         {3348--3353},
  abstract =	 { Rigorous analysis and evaluation of real implemented
                   robotic systems for intelligent tasks are rarely
                   performed. Such systems are often extremely complicated,
                   dependang not only on interesting theoretical
                   parameters and models, but on many assumptions and
                   constants which may be set almost arbitrarily. We
                   view all task implementations as particular parameterizations
                   of the task goals they represent. Through
                   fractional factorial experiments we establish the statistically
                   signaficant parameters and parameter interactions
                   for a sensorless model-based push-orienting
                   task. This type of analysis is a necessary step to understanding
                   integrated intelligent systems. It reveals
                   aspects of system implementations which cannot easily
                   be predicted in advance, and gives a clear picture
                   of the task requirements, given the strengths and weaknesses
                   of the observed system.},
  bib2html_pubtype ={Refereed Conference Proceeding},
  bib2html_rescat ={},
}

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