2404228
Project Grant
Overview
Grant Description
SBIR Phase I: Automated and optimized three dimensional routing - The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project includes the development of new automated routing optimization methodologies, as well as advanced 3D data compression techniques, which will benefit a wide range of industries and applications beyond the initial focus on building construction systems, including civil and infrastructure design, data center design, robotics, path planning, military applications and the semi-conductor industry.
Any industry requiring 3D spatial analysis and/or routing will benefit from the work of this project.
The project will have broader economic and societal impacts due to a substantial reduction in construction materials and labor necessary for new and remodeled buildings.
Carbon reduction, including embodied carbon and operational carbon, is a critical part of all climate change initiatives.
This AI software will result in a meaningful reduction in emissions due to the ability to optimize the use of materials and labor in the construction and operation of buildings.
The proposed technology will address many forms of design coordination and construction waste, dramatically reducing the amount of raw material, labor and construction waste required to construct a building, while simultaneously reducing the cost and time to occupancy of the construction project.
This Small Business Innovation Research (SBIR) Phase 1 project aims to develop a suite of software that automatically routes building services systems through 3D obstructed space achieving a near optimal, clash-free solution.
This involves developing a hyper-efficient 3D modeling environment using a process called “low-resolution surface tessellation” (LRST).
In lieu of trying to achieve a high-resolution surface, the project will create as rudimentary of a surface representation as possible to minimize the number of data points stored, thereby reducing the size and complexity of the data set necessary in which to compute routes.
The project will develop new 3D optimized routing algorithms in the new 3D environment using a combination of mixed integer linear programming, visibility graphs, non-linear reduction, and variable relaxation among other techniques.
The resulting technology, if successful, will find the most efficient path from point A to point B through a 3D space filled with any nature of obstructions in polynomial time, or better with no conflicts or clashes.
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.
Any industry requiring 3D spatial analysis and/or routing will benefit from the work of this project.
The project will have broader economic and societal impacts due to a substantial reduction in construction materials and labor necessary for new and remodeled buildings.
Carbon reduction, including embodied carbon and operational carbon, is a critical part of all climate change initiatives.
This AI software will result in a meaningful reduction in emissions due to the ability to optimize the use of materials and labor in the construction and operation of buildings.
The proposed technology will address many forms of design coordination and construction waste, dramatically reducing the amount of raw material, labor and construction waste required to construct a building, while simultaneously reducing the cost and time to occupancy of the construction project.
This Small Business Innovation Research (SBIR) Phase 1 project aims to develop a suite of software that automatically routes building services systems through 3D obstructed space achieving a near optimal, clash-free solution.
This involves developing a hyper-efficient 3D modeling environment using a process called “low-resolution surface tessellation” (LRST).
In lieu of trying to achieve a high-resolution surface, the project will create as rudimentary of a surface representation as possible to minimize the number of data points stored, thereby reducing the size and complexity of the data set necessary in which to compute routes.
The project will develop new 3D optimized routing algorithms in the new 3D environment using a combination of mixed integer linear programming, visibility graphs, non-linear reduction, and variable relaxation among other techniques.
The resulting technology, if successful, will find the most efficient path from point A to point B through a 3D space filled with any nature of obstructions in polynomial time, or better with no conflicts or clashes.
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 (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE I", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23515
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Omaha,
Nebraska
68124-3569
United States
Geographic Scope
Single Zip Code
Schnackel Engineers was awarded
Project Grant 2404228
worth $275,000
from National Science Foundation in August 2024 with work to be completed primarily in Omaha Nebraska United States.
The grant
has a duration of 5 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Project Grant was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I: Automated and Optimized Three Dimensional Routing
Abstract
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project includes the development of new automated routing optimization methodologies, as well as advanced 3D data compression techniques, which will benefit a wide range of industries and applications beyond the initial focus on building construction systems, including civil and infrastructure design, data center design, robotics, path planning, military applications and the semi-conductor industry. Any industry requiring 3D spatial analysis and/or routing will benefit from the work of this project. The project will have broader economic and societal impacts due to a substantial reduction in construction materials and labor necessary for new and remodeled buildings. Carbon reduction, including embodied carbon and operational carbon, is a critical part of all climate change initiatives. This AI software will result in a meaningful reduction in emissions due to the ability to optimize the use of materials and labor in the construction and operation of buildings. The proposed technology will address many forms of design coordination and construction waste, dramatically reducing the amount of raw material, labor and construction waste required to construct a building, while simultaneously reducing the cost and time to occupancy of the construction project.
This Small Business Innovation Research (SBIR) Phase 1 project aims develop a suite of software that automatically routes building services systems through 3D obstructed space achieving a near optimal, clash-free solution. This involves developing a hyper-efficient 3D modeling environment using a process called “low-resolution surface tessellation” (LRST). In lieu of trying to achieve a high-resolution surface, the project will create as rudimentary of a surface representation as possible to minimize the number of data points stored, thereby reducing the size and complexity of the data set necessary in which to compute routes. The project will develop new 3D optimized routing algorithms in the new 3D environment using a combination of mixed integer linear programming, visibility graphs, non-linear reduction, and variable relaxation among other techniques. The resulting technology, if successful, will find the most efficient path from Point A to Point B through a 3D space filled with any nature of obstructions in polynomial time, or better with no conflicts or clashes.
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
AI
Solicitation Number
NSF 23-515
Status
(Complete)
Last Modified 8/13/24
Period of Performance
8/1/24
Start Date
1/31/25
End Date
Funding Split
$275.0K
Federal Obligation
$0.0
Non-Federal Obligation
$275.0K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2404228
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
QLMFAMGB3JE5
Awardee CAGE
0L480
Performance District
NE-02
Senators
Deb Fischer
Modified: 8/13/24