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Alan K. Mackworth. Quick and Clean: Constraint-Based Vision for Situated Robots. In Proceedings of the IEEE International Conference on Image Processing, pp. 789–792, Lausanne, Switzerland, September 1996.
Knowledge-based vision for robots needs a radically new approach. The traditional approach has not made substantial progress for various reasons including the engineering problems of building systems based on a hybrid on-line/off-line paradigm. A new situated agent approach is presented. The Constraint Net model of Zhang and Mackworth allows the designer to specify the robot's vision, control and motor systems uniformly as on-line systems. If the perceptual and control systems are designed as constraint-satisfying devices then the total robotic system, consisting of the robot symmetrically coupled to the environment, can be proven correct. Examples of this approach are given.
@InProceedings{IEEE-IP96,
author = {Alan K. Mackworth},
title = {Quick and Clean: Constraint-Based Vision for Situated Robots},
year = {1996},
month = {September},
booktitle = {Proceedings of the IEEE International Conference on Image Processing},
address = {Lausanne, Switzerland},
pages = {789--792},
abstract = {Knowledge-based vision for robots needs a radically
new approach. The traditional approach has
not made substantial progress for various reasons
including the engineering problems of building systems
based on a hybrid on-line/off-line paradigm.
A new situated agent approach is presented. The
Constraint Net model of Zhang and Mackworth
allows the designer to specify the robot's vision,
control and motor systems uniformly as on-line
systems. If the perceptual and control systems
are designed as constraint-satisfying devices then
the total robotic system, consisting of the robot
symmetrically coupled to the environment, can be
proven correct. Examples of this approach are
given. },
bib2html_pubtype ={Refereed Conference Proceeding},
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}
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