Coordinating with Humans by Adjustable-autonomy for Multirobot Pursuit (CHAMP)

Award Information
Agency:
Department of Defense
Amount:
$730,000.00
Program:
SBIR
Contract:
W56HZV-11-C-0212
Solitcitation Year:
2008
Solicitation Number:
2008.3
Branch:
Army
Award Year:
2011
Phase:
Phase II
Agency Tracking Number:
A2-4200
Solicitation Topic Code:
A08-204
Small Business Information
Aptima, Inc.
12 Gill Street, Suite 1400, Woburn, MA, -
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
967259946
Principal Investigator
 Nathan Schurr
 Human-Agent Collaboration
 (781) 496-2453
 nschurr@aptima.com
Business Contact
 Thomas McKenna
Title: Chief Financial Officer
Phone: (781) 496-2443
Email: mckenna@aptima.com
Research Institution
 Stub
Abstract
The need to fight and control the urban terrain is not a new concept for the military; however, there are new obstacles, illustrated in the battles fought and won in Fallujah and Haditha, that make the job of the warfighter much harder. Due to the pioneering work of researchers in the field of robotics and artificial intelligence, there exist promising and significant opportunities for the incorporation of semi-autonomous robotic entities within the small-unit tactical team that may positively impact the day-to-day effectiveness of those teams in urban environments. To achieve this vision, we propose to develop a system for Coordinating with Humans by Adjustable-autonomy for Multirobot Pursuit (CHAMP). The robots and humans will be controlled by distributed optimization strategies, derived from results in distributed pursuit, distributed constraint optimization, and dynamic game theory. The degree of operator control will be dynamic, and will be informed by recent results from the field of adjustable autonomy. Human-robotic interaction will be intuitive. The CHAMP system will allow the coordination of the robotic team to become more dynamic and adjust to the goals, demands, and constraints of the current situation as it unfolds.

* information listed above is at the time of submission.

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