Cognitive Patterns: An Architecture for Distributed Control of ChemBots

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W911QX-11-C-0004
Agency Tracking Number: 08SB2-0104
Amount: $743,261.00
Phase: Phase II
Program: SBIR
Awards Year: 2011
Solicitation Year: 2008
Solicitation Topic Code: SB082-007
Solicitation Number: 2008.2
Small Business Information
Aptima, Inc.
12 Gill Street, Suite 1400, Woburn, MA, -
DUNS: 967259946
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Webb Stacy
 VP Technology
 (781) 496-2437
 wstacy@aptima.com
Business Contact
 Thomas McKenna
Title: Chief Financial Officer
Phone: (781) 496-2443
Email: mckenna@aptima.com
Research Institution
 Stub
Abstract
Today"s robots require a great deal of control and supervision, and are unable to intelligently respond to unanticipated and novel situations. To address this problem, we developed a preliminary architecture for Cognitive Patterns which includes Cognitive Patterns Knowledge Generation (CPKG) and has the ability to connect to various knowledge-based models, multiple sensors, and to a human operator. CPKG is a knowledge-based system that can understand, adapt to, and intelligently act in novel situations that are not accounted for by the knowledge base implementers, and can do so without much involvement from the human operator. The CPKG system comprises three major internal modules: Pattern Generation, Perception and Action via Vertical Blends and Adaptation via Horizontal Blends. These enable it to create situationally-relevant abstract patterns, match sensory input to a suitable abstract pattern in a multilayered top-down/bottom-up fashion, similar to the mechanisms used for visual perception in the brain, and generate new abstract patterns. The main benefit of Cognitive Patterns is that it will allow for a special class of robots that show a high flexibility in decision making and minimize the need for human effort and intervention.

* information listed above is at the time of submission.

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