SBIR/STTR Research Award

Semi-autonomous Capabilities for the Operation of Uncrewed Teams (SCOUT)

Award identifier 2628efd088bc2d6cfa3a78b9e17745208c5a96e636361f755775fbb8987c9e90Awarding agency Department of Commerce · National Oceanic and Atmospheric Administration

Award amount

$499,973

Program and phase

SBIR · Phase II

Award year

2021

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Award details

Awarding agency
Department of Commerce
Branch
National Oceanic and Atmospheric Administration
Recipient company
CHARLES RIVER ANALYTICS, INC.
Proposal award date
2021-07-01
Contract end date
2023-06-30
UEI
DD1BYN8SN355
Solicitation number
NOAA-OAR-OAR-TPO-2021-2006739
Topic code
9.4.01

Research abstract

Natural disasters and other severe weather events have the potential to create loss of life and damage property on large scales. Preparing for and responding to these incidents is a complex, multi-phase process. NOAA’s 2019-2022 Strategic Plan to achieve the vision of a Weather Ready Nation will reduce the impacts of weather, water, and climate events, and harness cutting-edge science, technology, and engineering to provide the best observations, forecasts, and warnings possible. Uncrewed aircraft systems (UAS) provide new sensing capabilities, keep humans out of harm’s way, and collect precise and actionable data when effectively supported by autonomy. We propose to implement and demonstrate Semi-autonomous Capabilities for the Operation of Uncrewed Teams (SCOUT), beginning by analyzing requirements and developing scenarios, integrating with existing commercial UAS and their ground control stations, and adding user interfaces to plan, monitor, and analyze survey missions. We will then fully implement and validate the dynamic routing and scene characterization algorithms prototyped during Phase I. Finally, we will validate airframe effectiveness and overall system concept viability to enable disaster management teams to leverage small, semi-autonomous UAS to execute rapid site survey missions to mitigate severe weather effects and vertically profile critical meteorological data for localized weather forecasting.

Technology keywords

Not reported

Agency intelligence

Department of Commerce

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