An Affective-Computing Control Paradigm for Autonomous Systems

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-07-M-0149
Agency Tracking Number: O063-UM7-4181
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solicitation Year: 2006
Solicitation Topic Code: OSD06-UM7
Solicitation Number: 2006.3
Small Business Information
814 W. Diamond Ave., Suite 301, Gaithersburg, MD, 20878
DUNS: 121257443
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Charles Shoemaker
 Senior Program Manager
 (240) 631-0008
Business Contact
 Alberto Lacaze
Title: President
Phone: (240) 631-0008
Research Institution
Unmanned Ground Vehicles (UGVs) and Unmanned Surface Vehicles (USVs) are assuming an increasingly important role in military operations. They provide effective platforms for performing missions while reducing risk to military personnel. Ultimately, the level of success achieved by UGVs and USVs will be dependent upon the ability to develop autonomous behaviors that are on par with human behaviors. Behavior of current autonomous systems is based on hundreds (or thousands) of programmed parameters. Essentially, these parameters control how a mission is achieved, but are too complex to be easily manipulated in a field environment. The challenge is that the parameters that control the behaviors are buried into a mass of software particularities. Therefore, we propose to develop a series of human understandable abstractions that allow a human operator to easily control how an unmanned system completes a mission and to what extent it uses its capabilities. Example abstractions include aggressiveness, stealth, inquisitiveness, urgency, safety, success and unpredictability (each of these will be further explained in the work plan). It is anticipated that these would be implemented as a set of sliders that allows an operator to control the level of each trait.

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

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