SBIR/STTR Research Award

Integrated Surface and Approach Risk Monitor

Award identifier 12ddad13718df6767cfc5d284485e5f89fc717683efe36c1656acf68ba7c6bbbAwarding agency National Aeronautics and Space Administration

Award amount

$149,947

Program and phase

SBIR · Phase I

Award year

2025

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
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
ROBUST ANALYTICS, INC.
Proposal award date
2025-09-04
Contract end date
2026-03-27
UEI
RKQ9JU484A29
Solicitation number
SBIR 2025-I
Topic code
A3

Research abstract

The increase in safety incidents in the terminal airspace and on the airport surface over the past few years highlights the need for in-time, reliable monitoring and alerting technologies that fill in gaps in currently available systems. For fixed-wing aircraft operations, the most critical phase of flight is during take-off and landing and any interactions during this phase can lead to catastrophic consequences. In busy airports with large number of arrivals and departures, the operational margins are tight, and errors can have ripple effects on the traffic at the airport. With the Integrated Surface and Approach Risk Monitor (ISARM) we propose a tool to monitor the interaction among approach, runway, and taxiway operations and avoid incidents before they occur. ISARM translates measured safety metrics into actionable information through an aircraft risk model for the cockpit, and a runway risk status model for tower control. Several incidents between aircraft on the ground and approach in the past few years arose from the lack of a coherent forward-looking logic model for safety. ISARM offers a discrete event sequence safety logical model for approach and take-off operations that model actions of different aircraft in the airspace into a sequence of necessary discrete steps for safe operation. Similar to a flight checklist that verifies operations of each system within an aircraft, the discrete safety sequence model provides an operational checklist for safely operating at a given runway. The specific risks to operations at a runway can either be isolated (e.g., pilot error) or persistent (e.g., complexity of operations, poor surface conditions, etc.). We will leverage our expertise in speech-to-text models, real-time data processing, and integrated monitoring to build the Phase I POC for ATL and JFK. We will demonstrate and validate the functionality on live data for the two airports by the end of Phase I.

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.

Research funding history

25 SBIR/STTR records share this UEI (2014–2025). Reported award amounts total $10,022,392. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Aeronautics and Space Administration

Agency intelligence

National Aeronautics and Space Administration

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.