SBIR/STTR Research Award

Formally Verified Run-Time Assurance (RTA) in the Presence of Information Uncertainty

Award identifier ab5eabfd356cef71af8a3e13b0e7ca49fd75b72b429d3198ff5e6348632b88c7Awarding agency Department of Defense · Air Force

Award amount

$149,268

Program and phase

SBIR · Phase I

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
CALHOUN ANALYTICS, LLC
Proposal award date
2022-08-19
Contract end date
2023-05-19
UEI
W1FNNRWR1X47
Solicitation number
22.1
Topic code
AF221-0024

Research abstract

With the rapid expansion in the development and intended use of autonomous systems, the ability to certify that these systems will operate in a robust and safe manner has not kept pace. This gap is leading to an extensive increased cost of development/procurement, delays in adoption, and in the most severe cases, a decrease in safety margins. The major focus of the effort is to demonstrate and prototype a formal run-time assurance (RTA) system that accounts for data integrity and information uncertainty. Many approaches to RTA currently rely solely on static boundary conditions and discrete switching approaches, thus not resilient to changes to state observability changes and resulting uncertainty. This lack of built-in resiliency can be very detrimental to operational efficiency.  Our innovative approach to RTA will inherently build in the various aspects of state uncertainty into the formalization of the safety conditions and switching logic.  Accounting for the data uncertainty and simultaneously maintaining the formalization of the system will be the key innovation of this work. This development research will be performed using a typical rejoin scenario to study the general principles and formulate recommendations for scaling the formal process to larger systems. The proposal team has included a letter of support for future integration of the design within the reinforcement learning environment developed by the Autonomy Capability Team (ACT3) researchers and will provide recommendations for generation of flight-ready software. Our long-term technical objectives include developing a USAF commercialization strategy, demonstrating capabilities of our Formally Verified RTA for an aircraft rejoin scenario, scaling the formal process to larger systems, demonstrating ability to extend our RTA technology to other missions without extensive development, finding additional USAF customers, and including this technology within the Air Force Cognitive Engine (ACE) for expanded USAF use.

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

8 SBIR/STTR records share this UEI (2019–2024). Reported award amounts total $3,436,344. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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