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Advanced Command and Control Architectures for Autonomous Sensing

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0103
Agency Tracking Number: N18B-030-0058
Amount: $125,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N18B-T030
Solicitation Number: 18.B
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-10-16
Award End Date (Contract End Date): 2019-04-25
Small Business Information
6800 Cortona Drive
Goleta, CA 93117
United States
DUNS: 054672662
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Patrick A. Toole Patrick A. Toole
 Senior Scientist
 (805) 968-6787
 ptoole@toyon.com
Business Contact
 SBIR Coordinator
Phone: (805) 968-6787
Email: sbir@toyon.com
Research Institution
 University of Maryland
 Ms. Evan Crierie Ms. Evan Crierie
 
Office of Research Administration 3112- Lee Bldg.
College Park, MD 20742
United States

 (301) 405-6269
 Nonprofit college or university
Abstract

We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protobuffers, and ZeroMQ messaging, the architecture provides standard, open and flexible interfaces which support rapid innovation. Publish/subscribe mechanisms enable the real-time performance of individual autonomy components (e.g., asset mission and route planning) to be optimized based upon the available computing resources. The architecture supports plug-n-play of autonomy components running on different computers and operating systems and, when combined with the SLAMEM™ simulation, provides a complete testbed for the test and evaluation of competing components, advanced algorithms, and human-machine interface (HMI) technologies. In Phase I we will develop, document, and prototype the open architecture, construct an evaluation scenario, and demonstrate the architecture using our baseline autonomy components. In Phase II we will advance the architecture and interfaces, develop a new C2 application, develop a representative operational airborne maritime surveillance scenario, and evaluate the effectiveness of the semi-autonomous manned-unmanned teaming assets using the SLAMEM simulation.

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

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