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2335079

Cooperative Agreement

Overview

Grant Description
SBIR Phase II: Radar-Based Building Automation -The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is in significantly reducing wasted energy in multi-dwelling and residential buildings while improving occupant living experiences.

The research proposes the development of advanced sensor technologies and machine learning algorithms to enable an inexpensive hardware infrastructure to control indoor space conditions autonomously. This concept will foster broader adoption of advanced automation technologies among buildings, especially multi-dwelling and residential buildings.

One main benefit of indoor automation is its deep energy savings. The Department of Energy estimates that if all residential units deploy energy-saving features offered by building automation solutions, 1-3 quadrillion units of energy will be saved yearly. This can reduce the nation's annual energy budget by $18-$36 billion and eliminate the release of 60-120 metric tons of CO2 emissions.

Alongside energy efficiency, the associated societal benefits of the proposed project can potentially save lives. The proposed solution integrates a higher level of security protection in residential spaces in addition to its ability to monitor occupants' health in real time. These life-saving features can significantly limit the impacts of intrusion events and medical emergencies.

The proposed project will advance the scientific knowledge required to approach full autonomous control in indoor spaces. Today's building automation solutions utilize a primitive sensor infrastructure, which has high deployment costs and limits the solution benefits. This leads to a diminished value proposition and a small adoption rate.

This project proposes the utilization of advanced perception sensors in buildings. The rich data stream these sensors offer allows for a compact hardware infrastructure to autonomously control indoor spaces and improve the living experience within buildings.

Advances in sensing technologies were fundamental to the recent exponential growth in the autonomous driving industry and the realization of a generation-old dream. This research project aims to instigate a similar technological evolution in the autonomous control of indoor spaces.

An upgraded implementation of the Phase I evaluation study will be developed to mitigate Phase I learnings. The project also aims to develop a production-ready implementation of the developed sensor technology to prepare it for commercialization and market introduction.

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. - Subawards are not planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH PHASE II (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23516
Awarding / Funding Agency
Place of Performance
Los Angeles, California 90017-2580 United States
Geographic Scope
Single Zip Code
Analysis Notes
Amendment Since initial award the End Date has been extended from 04/30/26 to 10/31/26 and the total obligations have increased 20% from $999,841 to $1,199,809.
Rivieh was awarded Cooperative Agreement 2335079 worth $1,199,809 from National Science Foundation in May 2024 with work to be completed primarily in Los Angeles California United States. The grant has a duration of 2 years 5 months and was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships. The Cooperative Agreement was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase II Programs (SBIR/STTR Phase II).

SBIR Details

Research Type
SBIR Phase II
Title
SBIR Phase II: Radar-based Building Automation
Abstract
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is in significantly reducing wasted energy in multi-dwelling and residential buildings while improving occupant living experiences. The research proposes the development of advanced sensor technologies and machine learning algorithms to enable an inexpensive hardware infrastructure to control indoor space conditions autonomously. This concept will foster broader adoption of advanced automation technologies among buildings, especially multi-dwelling and residential buildings. One main benefit of indoor automation is its deep energy savings. The Department of Energy estimates that if all residential units deploy energy-saving features offered by building automation solutions, 1-3 quadrillion units of energy will be saved yearly. This can reduce the nation's annual energy budget by $18-$36 billion and eliminate the release of 60-120 metric tons of CO2 emissions. Alongside energy efficiency, the associated societal benefits of the proposed project can potentially save lives. The proposed solution integrates a higher level of security protection in residential spaces in addition to its ability to monitor occupants' health in real time. These life-saving features can significantly limit the impacts of intrusion events and medical emergencies. The proposed project will advance the scientific knowledge required to approach full autonomous control in indoor spaces. Today’s building automation solutions utilize a primitive sensor infrastructure, which has high deployment costs and limits the solution benefits. This leads to a diminished value proposition and a small adoption rate. This project proposes the utilization of advanced perception sensors in buildings. The rich data stream these sensors offer allows for a compact hardware infrastructure to autonomously control indoor spaces and improve the living experience within buildings. Advances in sensing technologies were fundamental to the recent exponential growth in the autonomous driving industry and the realization of a generation-old dream. This research project aims to instigate a similar technological evolution in the autonomous control of indoor spaces. An upgraded implementation of the Phase I evaluation study will be developed to mitigate Phase I learnings. The project also aims to develop a production-ready implementation of the developed sensor technology to prepare it for commercialization and market introduction. 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
I
Solicitation Number
NSF 23-516

Status
(Ongoing)

Last Modified 9/18/25

Period of Performance
5/1/24
Start Date
10/31/26
End Date
57.0% Complete

Funding Split
$1.2M
Federal Obligation
$0.0
Non-Federal Obligation
$1.2M
Total Obligated
100.0% Federal Funding
0.0% Non-Federal Funding

Activity Timeline

Interactive chart of timeline of amendments to 2335079

Transaction History

Modifications to 2335079

Additional Detail

Award ID FAIN
2335079
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
RNLHNT2V1C54
Awardee CAGE
8G5M2
Performance District
CA-34
Senators
Dianne Feinstein
Alejandro Padilla
Modified: 9/18/25