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Use of Crew Intent Inferencing to Augment Control of Multiple Unmanned Aerial Vehicles

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAH10-02-C-0032
Agency Tracking Number: A012-1204
Amount: $119,876.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
24600 Silver Cloud Court, Suite 103
Monterey, CA 93940
United States
DUNS: 181539974
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Patricia Lakinsmith
 Senior Scientist
 (408) 970-9119
Business Contact
 Robert Hennessy
Title: President
Phone: (831) 648-0190
Research Institution

"Unmanned aerial vehicles are valuable assets to the Army's scout and attack rotorcraft on the digital battlefield. Intent inferencing is critical for these types of mixed-initiative systems designed to carry out the commander's intent without violatingmission constraints or overloading their airborne human supervisors. The Monterey Technologies, Inc. (MTI) team has directly applicable experience designing, building, and evaluating intelligent systems for medical diagnosis, tutoring, and militarytactical planning. Our approach will use an agile modeling techniques to rapidly design an RPA and Apache Longbow-compatible intent inferencer that accurately and reliably estimates human operator activities and goals based on pilot actions, mission goalsand constraints, and aircraft state, and employs state of the art techniques for resolving uncertainty with minimal operator interruption. Our modeling techniques will allow us to rapidly identify, document, and communicate system requirements andimplementation constraints, focusing the majority of design time addressing the context model and the challenge of reasoning under uncertainty. MTI will leverage recent technological advances in KBS development approaches such as Bayesian networks, casebased reasoning, and hybrid architectures integrating rule and case-based inferencing. The functionality and portability of our final HLA-compliant intent inferencing system design will be demon

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

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