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Abstract: An important problem in geometric reasoning is to find the configuration of a collection of geometric bodies so as to satisfy a set of given constraints. Recently, it has been suggested that this problem can be solved efficiently by symbolically reasoning about geometry. This approach, called degrees of freedom analysis, employs a set of specialized routines called plan fragments that specify how to change the configuration of a set of bodies to satisfy a new constraint while preserving... (Update)
Context of citations to this paper: More
.... of a pre specified function, perhaps with some simple inference for multi way numerical constraints) The planning for the MAP [BKH96] and the need to maintain a numerical model along with the symbolic geometric model distinguish GCE s geometric degrees of freedom...
...evaluation of a pre specified function, perhaps with some simple inference for multi way numerical constraints. The planning for the MAP [8] and the need to maintain a numerical model along with the symbolic geometric model distinguish GCE s geometric degrees of freedom...
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BibTeX entry: (Update)
Bhansali, S., Kramer, G. A. `Principled approach towards symbolic geometric constraint satisfaction' Journal of Artificial Intelligence Research Vol 4(1996) pp 419-443 http://citeseer.ist.psu.edu/bhansali96principled.html More
@article{ bhansali96principled,
author = "Sanjay Bhansali and Glenn A. Kramer and Tim J. Hoar",
title = "A Principled Approach Towards Symbolic Geometric Constraint Satisfaction",
journal = "Journal of Artificial Intelligence Research",
volume = "4",
pages = "419-443",
year = "1996",
url = "citeseer.ist.psu.edu/bhansali96principled.html" }
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