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Artificial Intelligence/Machine Learning to Improve Maneuver of Robotic/Autonomous Systems

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56KGU-20-C-0003
Agency Tracking Number: A2-7899
Amount: $998,957.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: A17A-T019
Solicitation Number: 17.A
Solicitation Year: 2017
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-11-21
Award End Date (Contract End Date): 2021-11-20
Small Business Information
990 North 8000 West
Petersboro, UT 84325
United States
DUNS: 964299791
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jeff Ferrin
 Chief Technology Officer
 (435) 754-5706
Business Contact
 Jeff Ferrin
Phone: (435) 755-2980
Research Institution
 Georgia Institue of Technology
 Panagiotis Tsiotras Panagiotis Tsiotras
North Ave NW
Atlanta, GA 30332
United States

 (404) 894-9526
 Nonprofit College or University

Autonomous vehicles are being used for many applications varying from small indoor robots, to large-scale mining trucks, and military vehicles operating in fast-changing environments. Global position systems (GPS) have traditionally been used for vehicle positioning. GPS works well in open environments, but suffers from significant degradation due to terrain, certain operating conditions, and even interference and jamming. Vehicles operating in high-risk scenarios, whether the battlefield or a time-sensitive mine operation or farming harvest, need to always know where they are in order to properly perform path control, particularly in dynamic environments. In these cases, GPS alone will not suffice for vehicle state estimation. Under the previous Phase I contract, Autonomous Solutions, Inc. (ASI), in conjunction with the Georgia Institute of Technology, have developed both GPS-denied and high-speed dynamic control algorithms to mitigate the effects of degrading GPS and to improve vehicle control, respectively. The technology demonstrated shows promise in its usefulness to solve many problematic situations currently expressed by ASI customers in non-ideal environments. The continued development of this GPS-denied work will prove beneficial to ASI customers operating in deep open-pit or underground mines, orchards with impenetrable canopies, and yet others operating at high-latitudes where GPS is unreliable.

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

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