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Scientific Systems Company Inc. SBIR Phase I Award, June 2018

A SBIR Phase I contract was awarded to Scientific Systems Company Inc. in June, 2018 for $124,927.0 USD from the U.S. Department of Defense and United States Navy.

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sbir.gov/node/1603483
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Scientific Systems Company Inc.
Scientific Systems Company Inc.
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Navy
United States Navy
0
Award Type
SBIR0
Contract Number (US Government)
N68335-18-C-05600
Award Phase
Phase I0
Award Amount (USD)
124,9270
Date Awarded
June 18, 2018
0
End Date
August 20, 2019
0
Abstract

While approaches exist to plan and operate autonomous unmanned systems (AUS) in isolated contexts, the inclusion and optimization of AUS in theater-level total force planning is unresolved. We propose TIMPS, a toolset of mission planning algorithms and HMI to enable theater-level planning and drive down manned support requirements for USW and other missions. TIMPS’ design is based on three key insights: 1. Kill chain and similar missions require continuity, which depends on access to infrastructure services (e.g. power/fuel, resupply, comms, C2/exfil, PNT, autonomy, battle management); 2. Optimization of mission assets, especially AUS, requires an understanding of the asset-specific planners and behaviors; and 3. The ability of human operators to specify and manage these complex missions requires specialized HMI tools and representations. TIMPS is thus focused on 1. Optimizing the placement of infrastructure and mission assets to ensure continuous mission execution, 2. Learning the behaviors and interfacing to asset-specific planners, and 3. Providing user-understandable HMI tools and representations. TIMPS will be adapted and integrated from SSCI technologies developed under DARPA programs, including CNAV, DASH, ACTUV, and CDMaST, along with multi-vehicle tasking algorithms from MIT’s Aerospace Controls Laboratory, represented by Professor Jonathan How as a consultant on this proposed effort.

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