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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.
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.
@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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