Constraint solving methods and sensor-based decision making

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The author describes a novel approach to sensor-based decision making that involves formulating and solving large systems of parametric constraints. The constraints describe a model for sensor data and the criteria for correct decisions about the data. An incremental constraint solving technique performs the minimal model recovery required to reach a decision. The approach was demonstrated on two different problems, graspability and categorization, using range data and a superellipsoid data model. The experiments indicated that simultaneous solution of both data constraints and decision criteria can lead to be efficient and effective decision making, even when the observed data was imprecise and incomplete.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
PublisherPubl by IEEE
Pages1662-1667
Number of pages6
ISBN (Print)0818627204
StatePublished - Dec 1 1992
Externally publishedYes
EventProceedings of the 1992 IEEE International Conference on Robotics and Automation - Nice, Fr
Duration: May 12 1992May 14 1992

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2

Other

OtherProceedings of the 1992 IEEE International Conference on Robotics and Automation
CityNice, Fr
Period5/12/925/14/92

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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  • Cite this

    Hager, G. D. (1992). Constraint solving methods and sensor-based decision making. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 1662-1667). (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 2). Publ by IEEE.