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U.S. National Science Foundation

Foundational Research in Robotics

Open · Opportunity PD-20-144Y · Assistance Listing 47.070, 47.041

Key facts

Deadline
No deadline listed (see notice)
Award size
Not specified — see notice
Cost share / match ?
Not required
Who can apply
Anyone (unrestricted)
Where
Anywhere in the U.S., including Tennessee

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How this fits you

  • Available in Warren County (nationwide program)
  • No cost share required
  • Tennessee recipients since 2023: 36

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More from U.S. National Science Foundation

Read the official notice View on Grants.gov Sign in to save

About this grant

The Foundational Research in Robotics (FRR) program, jointly led by the CISE and ENG Directorates, supports research on robotic systems that exhibit significant levels of both computational capability and physical complexity. For the purposes of this program, a robot is defined as intelligence embodied in an engineered construct, with the ability to process information, sense, plan, and move within or substantially alter its working environment. Here intelligence includes a broad class of methods that enable a robot to solve problems or to make contextually appropriate decisions and act upon them. The program welcomes research that considers inextricably interwoven questions of intelligence, computation, and embodiment. Projects may also focus on a distinct aspect of intelligence, computation, or embodiment, as long as the proposed research is clearly justified in the context of a class of robots. The focus of the FRR program is on foundational advances in robotics. Robotics is a deeply interdisciplinary field, and proposals are encouraged across the full range of fundamental engineering and computer science research challenges arising in robotics. To be responsive to the FRR program, each proposal should clearly articulate the following three points: • The focus of the research project should be a robot or a class of robots, as defined above. [Is there a robot?] • The goal of the project should be to endow a robot or a class of robots with new and useful capabilities or to significantly enhance existing capabilities. [Will a robot gain a new or significantly improved capability?] • The intellectual contribution of the proposed work should address fundamental gaps in robotics. [Is robotics essential to the intellectual merit of the proposal?] Meaningful experimental validation on a physical platform is encouraged. Projects that do not represent a direct fundamental contribution to the science of robotics or are better aligned with other existing programs at NSF should not be submitted to the FRR program. Potential investigators are strongly encouraged to discuss their projects with an FRR Program Officer before submission. Non-compliant proposals may be returned without review.

Who in Tennessee has won this program

36 awards to Tennessee recipients in 5 counties since federal FY2023 · 0 in Warren County. Largest shown:

Past Tennessee recipients
RecipientWhereAmountFY
University Of TennesseeKnoxville, Knox County$9M2026
Vanderbilt UniversityNashville, Davidson County$4M2025
Vanderbilt UniversityNashville, Davidson County$3.2M2022
Vanderbilt UniversityNashville, Davidson County$3M2024
University Of MemphisMemphis, Shelby County$2.6M2019
Vanderbilt UniversityNashville, Davidson County$2.2M2023
University Of TennesseeKnoxville, Knox County$2.1M2023
University Of TennesseeKnoxville, Knox County$2M2024
University Of TennesseeKnoxville, Knox County$2M2020
University Of TennesseeKnoxville, Knox County$1.7M2025
Vanderbilt UniversityNashville, Davidson County$1.7M2022
Vanderbilt UniversityNashville, Davidson County$1.6M2026

Source: USAspending.gov. Past awards show who this program funds; they don't guarantee future awards.

About the program (47.041)

Engineering — (ENG)

How applications are judged

Not Applicable.

Matching requirements

This program has no statutory formula. Matching requirements are not applicable to this assistance listing. MOE requirements are not applicable to this assistance listing.

Examples of funded projects

Not Applicable.

Program listing on SAM.gov

About the program (47.070)

Computer and Information Science and Engineering — (CISE)

How applications are judged

Not Applicable.

Matching requirements

This program has no statutory formula. Matching requirements are not applicable to this assistance listing. MOE requirements are not applicable to this assistance listing.

Examples of funded projects

Not Applicable.

Program listing on SAM.gov

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