By Topic

Constraint solving methods and sensor-based decision-making

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
G. D. Hager ; Dept of Comput. Sci., Yale Univ., New Haven, CT, USA

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

Published in:

Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on

Date of Conference:

12-14 May 1992