Planning from First Principles for Geometric Constraint Satisfaction
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Citation: Sanjay Bhansali and Glenn A. Kramer. (1994) Planning from First Principles for Geometric Constraint Satisfaction. In KSL-94-25, 1994.
| Publication techreport ( Edit ) | |
| type | Technical Report |
| bibtype | techreport |
| Bibtex basics | |
| author | Sanjay Bhansali and Glenn A. Kramer |
| title | Planning from First Principles for Geometric Constraint Satisfaction |
| number | KSL-94-25 |
| institution | Knowledge Systems, AI Laboratory |
| address | Seattle, WA |
| year | 1994 |
| Bibtex more | |
| note | April. |
| Access Paper | |
| 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 using a degrees of freedom analysis. The approach 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 existing constraints. In this paper we show how these plan fragments can be automatically synthesized using first principles about geometric bodies,actions, and topology. |
| KSL Technical Report ID: KSL-94-25 |
Facts about Planning from First Principles for Geometric Constraint SatisfactionRDF feed
| Abstract | An important problem in geometric reasonin … 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 using a degrees of freedom analysis. The approach 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 existing constraints. In this paper we show how these plan fragments can be automatically synthesized using first principles about geometric bodies,actions, and topology. ut geometric bodies,actions, and topology. |
| Address | Seattle, WA + |
| Author | Sanjay Bhansali and Glenn A. Kramer + |
| Bibtype | techreport + |
| Has author | Sanjay Bhansali and Glenn A. Kramer + |
| Has identifier | KSL-94-25 + |
| Has publishing details | 1994 + |
| Has title | Planning from First Principles for Geometric Constraint Satisfaction + |
| Has where published | KSL-94-25 + |
| Has year | 1994 + |
| Institution | Knowledge Systems, AI Laboratory + |
| Ksl tr id | KSL-94-25 + |
| Note | April. |
| Number | KSL-94-25 + |
| Process note | YES + |
| Title | Planning from First Principles for Geometric Constraint Satisfaction + |
| Year | 1994 + |
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