SBIR/STTR Research Award

SBIR Phase II:Mobile manipulation platform for rebar tying

Award identifier f95fc85f78423727744c3c8e72580c31569fba2cb0086b226993316f31944d9aAwarding agency National Science Foundation

Award amount

$1,000,000

Program and phase

SBIR · Phase II

Award year

2021

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
ROTOYE LLC
Proposal award date
2021-09-15
Contract end date
2023-02-28
UEI
MZT8TJKK5FD7
Solicitation number
NSF 20-545
Topic code
EW

Research abstract

"The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is the development of a robotic solution to automate a dangerous and repetitive rebar tying task in construction. Rebar tying is performed by “rodbusters”, 88% of whom reported that they suffered some form of musculoskeleton disorder during their career. Removing the repetitive bending over and tying actions can have significant impacts on the quality life of the workers who commonly suffer from carpal tunnel complications and back injuries. The market for rebar tying services solely for bridge decks in the US is valued at over $370 million across the next ten years. The general construction market is estimated to spend at least $1.3 billion annually for rebar tying. A quality transportation infrastructure has direct impacts on national defense readiness, economic competitiveness, disaster response, exchange of goods, and standards of living. However, at present, the US has a growing backlog of bridges deemed deficient. A successful Phase II project may play a key role in addressing the infrastructure maintenance backlog and allowing a key foundation of the national economic engine to function properly._x000D_ _x000D_ This Small Business Innovation Research (SBIR) Phase II project seeks to demonstrate multiple robots to perform automated rebar tying. Many construction projects have thousands of rebar intersections that need to be tied; A system to detect these intersections is proposed. Various algorithms for detecting rebar will be improved and integrated to build a semi-automated rebar map building software. The research project will build an aircraft configuration and develop various computer vision and controls algorithms to demonstrate that a drone can fly over placed rebar, identify the intersections to tie, land on top of them and tie the rebar together. A small swarm of the customized drone prototypes will be built for demonstration. Speed in executing the job is critical for most construction projects implying that each intersection has to be tied in a matter of seconds for viable adoption of the proposed technology. The success of this project may result in the first commercially-viable swarm of mobile manipulation robots for unstructured environments._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."

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

3 SBIR/STTR records share this UEI (2018–2021). Reported award amounts total $1,374,994. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation, Department of Defense

Agency intelligence

National Science Foundation

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