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Multi-vehicle Collaboration with Minimal Communications and Minimal Energy

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0076
Agency Tracking Number: N17A-029-0114
Amount: $1,999,772.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N17A-T029
Solicitation Number: 17.A
Solicitation Year: 2017
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-10-12
Award End Date (Contract End Date): 2022-12-30
Small Business Information
7852 Walker Drive Suite 400
Greenbelt, MD 20770-0000
United States
DUNS: 110592016
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kenneth Center
 (301) 982-6232
Business Contact
 Ella Herz
Phone: (301) 982-6234
Research Institution
 University of Colorado
 Ella Herz Ella Herz
15 UCB
Boulder, CO 80309-0000
United States

 (301) 982-6323
 Nonprofit College or University

Orbit Logic,the University of Colorado, and the University of California are developing a hierarchical autonomous mission planning and response capability for Autonomous Underwater Vehicles (AUVs) to address the challenges associated with long duration operations. The research is innovating approaches to the exchange of information between collaborating vehicles enabling onboard decision-making to perform effectively despite communication limitations imposed by the underwater maritime environment. A novel decentralized data fusion approach is used to maintain the collective state awareness of a group of federated collaborating assets. This capability intelligently exchanges data (or strategically withholds data exchange) to minimize communications while maximizing knowledge. We also employ “resource ferrying” strategies to optimize collaborative operations for energy consumption. This technique, applicable to homogeneous or heterogeneous systems, has promise to significantly improve the overall effectiveness of long duration missions by intelligently distributing data and stored electrical energy. Finally, autonomous decision logic strategies leveraged from synergistic satellite autonomy research will overlay the data architecture. Research will be conducted to determine the most compact representation of asset information necessary to achieve robust, real-time adaptive mission performance.

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

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