2321919
Cooperative Agreement
Overview
Grant Description
SBIR Phase II: Automated Perception for Robotic Chopsticks Manipulating Small and Large Objects in Constrained Spaces - The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project supports the development of robotic solutions for unloading non-palletized packages of different shapes and sizes in logistics and similar industries. This technology may provide workers with more skilled jobs that remove the need for physically strenuous labor in unhealthy environments.
The project seeks to increase US competitiveness in supply chain logistics ($150 billion/year market in the US) by helping solve long-standing and worsening employee recruitment and retention problems. The project helps the US become an early leader in the robotic manipulation of diverse objects in constrained, unstructured environments while simultaneously training a workforce capable of remote manipulation in safe environments.
This Small Business Innovation Research (SBIR) Phase II project supports the development of robotic solutions for unloading non-palletized packages of different shapes and sizes in logistics and similar industries. At present, there are few commercially-available automated solutions for this task. Those few machines are brittle, slow, and only work well with uniform packages.
The research objectives include:
1) Upgrading the robot's perception system to fuse high-speed vision and force sensory inputs, which will enable closed-loop picking with greater speed, more robustness, higher safety, and less package damage.
2) Upgrading the robot's vision system to perceive object categories beyond boxes.
3) Investigating a user interface to allow a human operator to most-easily correct inevitable perception system errors.
4) Field testing the robotic system.
The cumulative result will be a rigorously validated system that safely (for packages and users) operates at high speed with little manual intervention. 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.
The project seeks to increase US competitiveness in supply chain logistics ($150 billion/year market in the US) by helping solve long-standing and worsening employee recruitment and retention problems. The project helps the US become an early leader in the robotic manipulation of diverse objects in constrained, unstructured environments while simultaneously training a workforce capable of remote manipulation in safe environments.
This Small Business Innovation Research (SBIR) Phase II project supports the development of robotic solutions for unloading non-palletized packages of different shapes and sizes in logistics and similar industries. At present, there are few commercially-available automated solutions for this task. Those few machines are brittle, slow, and only work well with uniform packages.
The research objectives include:
1) Upgrading the robot's perception system to fuse high-speed vision and force sensory inputs, which will enable closed-loop picking with greater speed, more robustness, higher safety, and less package damage.
2) Upgrading the robot's vision system to perceive object categories beyond boxes.
3) Investigating a user interface to allow a human operator to most-easily correct inevitable perception system errors.
4) Field testing the robotic system.
The cumulative result will be a rigorously validated system that safely (for packages and users) operates at high speed with little manual intervention. 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
NOT APPLICABLE
Grant Program (CFDA)
Awarding Agency
Place of Performance
Memphis,
Tennessee
38104-2027
United States
Geographic Scope
Single Zip Code
Related Opportunity
NOT APPLICABLE
Analysis Notes
Amendment Since initial award the End Date has been shortened from 09/30/25 to 12/31/23 and the total obligations have decreased 75% from $999,746 to $249,937.
Dextrous Robotics was awarded
Cooperative Agreement 2321919
worth $249,937
from in October 2023 with work to be completed primarily in Memphis Tennessee United States.
The grant
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase II
Title
SBIR Phase II:Automated Perception for Robotic Chopsticks Manipulating Small and Large Objects in Constrained Spaces
Abstract
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project supports the development of robotic solutions for unloading non-palletized packages of different shapes and sizes in logistics and similar industries.This technology may provide workers with more skilled jobs that remove the need for physically strenuous labor in unhealthy environments. The project seeks to increase US competitiveness in supply chain logistics ($150 billion / year market in the US) by helping solve long-standing and worsening employee recruitment and retention problems. The project helps the US become an early leader in the robotic manipulation of diverse objects in constrained, unstructured environments while simultaneously training a workforce capable of remote manipulation in safe environments._x000D_ _x000D_ This Small Business Innovation Research (SBIR) Phase II project supports the development of robotic solutions for unloading non-palletized packages of different shapes and sizes in logistics and similar industries. At present, there are few commercially-available automated solutions for this task. Those few machines are brittle, slow, and only work well with uniform packages. The research objectives include: 1) upgrading the robot’s perception system to fuse high-speed vision and force sensory inputs, which will enable closed-loop picking with greater speed, more robustness, higher safety, and less package damage; 2) upgrading the robot’s vision system to perceive object categories beyond boxes; 3) investigating a user interface to allow a human operator to most-easily correct inevitable perception system errors; and 4) field testing the roboticsystem. The cumulative result will be a rigorously validated system that safely (for packages and users) operates at high speed with little manual intervention._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
R
Solicitation Number
NSF 23-516
Status
(Complete)
Last Modified 3/5/24
Period of Performance
10/1/23
Start Date
12/31/23
End Date
Funding Split
$249.9K
Federal Obligation
$0.0
Non-Federal Obligation
$249.9K
Total Obligated
Activity Timeline
Transaction History
Modifications to 2321919
Additional Detail
Award ID FAIN
2321919
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
MD44UJ6AZMP5
Awardee CAGE
8BAC2
Performance District
TN-09
Senators
Marsha Blackburn
Bill Hagerty
Bill Hagerty
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) | $999,746 | 100% |
Modified: 3/5/24