SBIR/STTR Research Award

DARI - Mobile TE-UAS

Award identifier 9067808ae4367c837a82702d9f3320c2c3ce818c1e578b4f00b80c539ae6b0fbAwarding agency Department of Defense · Army

Award amount

$199,526

Program and phase

SBIR · Phase I

Award year

2022

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
AVAWATZ COMPANY
Proposal award date
2021-12-08
Contract end date
2022-03-06
UEI
S446QKCZNCC8
Solicitation number
21.4
Topic code
A214-041

Research abstract

DARI is a modular software and hardware architecture for an autonomous mobile tethered Unmanned Aerial System (Te-UAS). The Te-UAS consists of a small Unmanned Aerial Vehicle (UAV), an optionally-manned Ground Combat Vehicle (GCV), and a tether connecting the two. The tether contains electrical wires that deliver power from the GCV to the UAV and a fiber-optic cable that provides a high-bandwidth bidirectional data channel between sensors and processors on each vehicle.  The principal innovation in DARI is intelligent real-time Obstacle Detection and Avoidance (OD/OA) software that enables the Te-UAS team to travel at speeds of up to 45 mph without snaring or entangling the tether on obstacles like overhead wires, overpasses, or trees in a variety of urban, suburban, and rural operating environments. This OD/OA capability makes it possible to use the Te-UAS for long-duration observation over a broad geographical area without the need for a human UAV pilot. The DARI architecture is a suite of data structures, algorithms, messaging protocols, and data fusion and obstacle avoidance models, with associated sensors and processors. It follows the principles of the DoD Modular Open Systems Approach/Architecture (MOSA); major system components will use well-accepted open systems standards for interoperability, portability, and scalability. The architecture will define sensor configurations and associated software functions for creating a Common Operating Picture (COP) of the environment. The COP will provide a world model to a real-time navigation subsystem that coordinates and controls the flight/route plan of the Te-UAS, and will enhance warfighters' Situational Awareness. The architecture is not limited to use in a single Te-UAS. It provides for data sharing and cooperative tasking among multiple Te-UAS teams using wireless mesh networking, while recognizing the bandwidth and connectivity constraints in such networking.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

9 SBIR/STTR records share this UEI (2019–2025). Reported award amounts total $3,700,379. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Defense, Department of Homeland Security, Department of Transportation

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.