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Context-driven Active-sensing for Repair Tasks II (CART II)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: D16PC00144
Agency Tracking Number: D2-1475
Amount: $1,499,070.15
Phase: Phase II
Program: STTR
Solicitation Topic Code: ST14B-003
Solicitation Number: 2014.0
Solicitation Year: 2014
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-07-01
Award End Date (Contract End Date): 2019-08-30
Small Business Information
2 Parsonage Hill Road
Haverhill, MA 01832
United States
DUNS: 191496277
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Paul Robertson
 (978) 372-7635
Business Contact
 Paul Robertson
Phone: (978) 372-7635
Research Institution
 Massachusetts Institute of Tech
 Laureen Horton
77 Massachusetts Avenue, Build
Cambridge, MA 02139-4307
United States

 (617) 253-3922
 Nonprofit College or University

Existing machine perception systems are too inflexible, and are not robust enough to environmental uncertainty. In existing systems, perception components are statically (and manually) configured to process sensor data. The parameters of components in such a system are also statically tuned to operate optimally under very specific conditions. Information flow in such systems is bottom up, and generally not guided by knowledge of higher level context and goals. We have the opportunity to provide architectural support for context driven computer vision applications that draw robustness from context and from a closed loop approach to perception. Rather than treating image interpretation as a collection of carefully tuned image processing capabilities, we can consider the context in which our sensors provide meaningful and useful feedback and we can leverage the context of a known task to drive the perceptual process. This approach will provide a foundation for building a multitude of image processing applications that are difficult or impossible to build using conventional bottom up techniques.

* Information listed above is at the time of submission. *

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