2233583
Cooperative Agreement
Overview
Grant Description
SBIR Phase II: High Resolution Environmental Sensing Using Nanodrones - The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is enabling enhanced prediction of severe weather formation to a timing resolution of hours instead of days. Improved weather predictions have a significant impact on people's lives, allowing for better planning, proactive evacuations, and reducing deaths, injuries, and property damage, especially in vulnerable populations.
With climatologists predicting dramatic increases in damaging and dangerous severe weather over the next decades, accurate prediction of severe weather is even more critical. This project will launch a Robotics-as-a-Service business around the technology which can rapidly reach sustainability, generating economic impacts while providing significant environmental, scientific, and societal benefits.
As the technology matures and becomes more widespread, entirely novel analysis and predictive models will be developed around the data being produced, unlocking even higher value economic insights for insurance, energy, financial, and transportation industries.
The part of the atmosphere from the ground up to about 3,000 feet is called the Atmospheric Boundary Layer. This area is difficult to monitor but has a huge impact on gas, heat, and energy exchange between the Earth and the atmosphere. This project enables better monitoring and understanding of this area, unlocking scientific, logistical, and policy advancements that will drive new innovations in climate, environmental, and weather science with high impact on humanity.
The proposed technology enables gathering high spatial and temporal resolution atmospheric data with a swarm of synchronized sampling aircrafts. The swarm system will use lightweight design approaches and proprietary optimization techniques for portability, swarm capability, flight endurance, and low cost.
Using automation and robotics, including remote operational support, this project will enable data that can potentially be deployed globally to be gathered in a scalable and low-cost manner.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
With climatologists predicting dramatic increases in damaging and dangerous severe weather over the next decades, accurate prediction of severe weather is even more critical. This project will launch a Robotics-as-a-Service business around the technology which can rapidly reach sustainability, generating economic impacts while providing significant environmental, scientific, and societal benefits.
As the technology matures and becomes more widespread, entirely novel analysis and predictive models will be developed around the data being produced, unlocking even higher value economic insights for insurance, energy, financial, and transportation industries.
The part of the atmosphere from the ground up to about 3,000 feet is called the Atmospheric Boundary Layer. This area is difficult to monitor but has a huge impact on gas, heat, and energy exchange between the Earth and the atmosphere. This project enables better monitoring and understanding of this area, unlocking scientific, logistical, and policy advancements that will drive new innovations in climate, environmental, and weather science with high impact on humanity.
The proposed technology enables gathering high spatial and temporal resolution atmospheric data with a swarm of synchronized sampling aircrafts. The swarm system will use lightweight design approaches and proprietary optimization techniques for portability, swarm capability, flight endurance, and low cost.
Using automation and robotics, including remote operational support, this project will enable data that can potentially be deployed globally to be gathered in a scalable and low-cost manner.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Awardee
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Boston,
Massachusetts
02210-2333
United States
Geographic Scope
Single Zip Code
Related Opportunity
None
Greensight was awarded
Cooperative Agreement 2233583
worth $940,743
from National Science Foundation in June 2023 with work to be completed primarily in Boston Massachusetts United States.
The grant
has a duration of 2 years and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase II
Title
SBIR Phase II:High Resolution Environmental Sensing Using Nanodrones
Abstract
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is enabling enhanced prediction of severe weather formation to a timing resolution of hours instead of days. Improved weather predictions have a significant impact on people’s lives, allowing for better planning, proactive evacuations, and reducing deaths, injuries and property damage, especially in vulnerable populations. With climatologists predicting dramatic increases in damaging and dangerous severe weather over the next decades, accurate prediction of severe weather is even more critical. This project will launch a robotics-as-a-service business around the technology which can rapidly reach sustainability, generating economic impacts while providing significant environmental, scientific, and societal benefits. As the technology matures and becomes more widespread, entirely novel analysis and predictive models will be developed around the data being produced, unlocking even higher value economic insights for insurance, energy, financial, and transportation industries._x000D_
_x000D_
_x000D_
The part of the atmosphere from the ground up to about 3,000 feet is called the atmospheric boundary layer. This area is difficult to monitor but has a huge impact on gas, heat, and energy exchange between the earth and the atmosphere. This project enables better monitoring and understanding of this area, unlocking scientific, logistical, and policy advancements that will drive new innovations in climate, environmental, and weather science with high impact on humanity. The proposed technology enables gathering high spatial and temporal resolution atmospheric data with a swarm of synchronized sampling aircrafts. The swarm system will use lightweight design approaches and proprietary optimization techniques for portability, swarm capability, flight endurance, and low cost. Using automation and robotics, including remote operational support, this project will enable data that can potentially be deployed globally to be gathered in a scalable and low-cost manner._x000D_
_x000D_
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
CT
Solicitation Number
NSF 22-552
Status
(Complete)
Last Modified 6/6/23
Period of Performance
6/1/23
Start Date
5/31/25
End Date
Funding Split
$940.7K
Federal Obligation
$0.0
Non-Federal Obligation
$940.7K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2233583
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
N1AGNSBANJF7
Awardee CAGE
7JFP7
Performance District
07
Senators
Edward Markey
Elizabeth Warren
Elizabeth Warren
Representative
Ayanna Pressley
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $940,743 | 100% |
Modified: 6/6/23