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Team Oriented Resource Management and Control (TORMAC)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: HR001122C0089
Agency Tracking Number: D21T-25-0039
Amount: $223,354.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: HR001121S0007-25
Solicitation Number: HR001121S0007.T
Solicitation Year: 2021
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-02-04
Award End Date (Contract End Date): 2022-08-04
Small Business Information
3527 Beverly Glen Blvd.
Sherman Oaks, CA 91423-1111
United States
DUNS: 124668711
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Paul Scerri
 (703) 342-4660
Business Contact
 Elan Freedy
Phone: (703) 200-4104
Research Institution
 Harvard University School of Engineering and Applied Science
 Miland Tambe
150 Western Ave.
Allston, MA 02134-1027
United States

 (617) 998-2423
 Nonprofit College or University

This proposal is for a Team Oriented Resource Management and Control (TORMAC) solution to the problem of distributed decision-making for resource constrained platforms in complex environments. As autonomous unmanned vehicles (UXV), sensor and manned vehicle capabilities have proliferated, it is more important to find ways of coordinating these assets towards common objectives in an evolving, communications degraded and potentially hostile environment. There is a clear need to be able to coordinate assets across domains, space, time and circumstances to meet common, joint and multiple objectives. The capability must be functional despite factors such as changing environmental conditions, tight and changing resource constraints, and actions with uncertain outcomes. A framework for distributed decision-making towards cooperative goals will have broad applicability to both civilian and military applications including in environmental, construction, health, and disaster response scenarios. The TORMAC approach features two key conceptual ideas: Partially Observable Markov Decision Processes (POMDPs) and Teamwork as formalized by our partners. POMDPs are a formalism and related algorithms for reasoning about courses of action under uncertain action and uncertain knowledge of an environment. Together, the planning provided by the POMDPs and the teamwork to react in a principled way to changing circumstances and will form the basis of the TORMAC framework.

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

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