SBIR/STTR Research Award

Autonomous Radiation Detection and Mapping

Award identifier fc0c9b30f29dcfcbe6ae33d0e12ba03e8c3a27302d87497b6a32eece56a91fa7Awarding agency Department of Energy

Award amount

$206,500

Program and phase

SBIR · Phase I

Award year

2024

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 Energy
Branch
Not reported
Recipient company
H3D INC
Proposal award date
2024-07-22
Contract end date
2025-04-21
UEI
KF7VYKHNEVN5
Solicitation number
DE-FOA-0003202
Topic code
C58-05a

Research abstract

Autonomous radiation detection and mapping is a broadly useful technology for nuclear power, emergency response and wide area search. The nuclear power industry requires regular monitoring to ensure that work within the plant is well scoped and that a reasonable estimate of worker dose is available for planning purposes. Further, there are areas within a plant which are too hazardous for routine monitoring and would be excellent for applications of autonomous platforms. These kinds of efforts currently require personnel who need to be trained, are inherently prone to error, lack accuracy in repetition, and work in areas where dose is a major concern. The main goal of the Phase-I effort is to develop automated survey methods, with integration of a specific cost function, into a robot navigation package that considers the quality of measured radiological data and attempts to minimize the Minimum Detectable Activity for all voxels within the directed area. These tools will be developed on a platform intended for integration on a wide variety of robots. In Phase II, the navigation effort will be moved to a server-based platform such that multiple robots may be directed from one central server. Without tools such as those being proposed, the robots currently owned by power plants mostly sit idle; because, while they are cool and can help with survey work, practically using them requires more time and effort than plant operators have to really leverage the benefits. The market is currently lacking tools which are well placed for search, survey, and automated evaluation by robotics platforms in the nuclear space. The proposed detection platform with 3D imaging allows for a next-level use of radiological data for better analysis and work planning. Through the proposed development, an existing gap will be filled, and robots will gain enhanced capabilities that can be applied to radiological tasks in order to be a more useful resource for power plants and homeland security. The market is looking for this technology to be developed. Commercially, the result of Phase I and Phase II development would be a marketable set of automated tools to survey, monitor, and evaluate areas for contamination. The public would benefit from these tools through reduced radiation worker dose, improved work planning for plant operators and a reduction in labor needed for regular monitoring for homeland security applications. The emergency response capability also canĺt be overstated. The ability to release a group of robots to determine the extent and severity of a contamination event can reduce potential harm to personnel and provide accurate and actionable information for cleanup and response.

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

22 SBIR/STTR records share this UEI (2014–2025). Reported award amounts total $9,784,996. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy, Department of Defense, Department of Commerce

Agency intelligence

Department of Energy

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.