NSF award 2541603 · University of Florida

CAREER: Assured Reinforcement Learning from Human Feedback for Cyber-Physical Systems

Final report due

28 September 2031

in 1,806 days · The award ends on 31 May 2031.

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Decide about an extension31 Jan 2031in 1566 days
award ending 2031-05-31 · Research.gov
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Extension request16 Apr 2031in 1641 days
award ending 2031-05-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 May 2031in 1676 days
award ending 2031-05-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Sep 2031in 1806 days
award ending 2031-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2031in 1806 days
award ending 2031-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2031in 1806 days
award ending 2031-05-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 May 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 September 2031.

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Award card

Award number: 2541603
Period of support: 1 Jun 2026 – 31 May 2031
Amount: $659,317
Awardee: University of Florida, Gainesville, FL
Program: CPS-Cyber-Physical Systems
Directorate: CSE

Abstract

This CAREER project will develop new methods that allow cyber-physical systems, such as robotaxis, service robots, and autonomous drones, to adapt to individual human preferences using simple feedback. Today, many such systems rely on fixed rules designed in advance, which makes it difficult for them to respond to differences in how people prefer to work or interact with them. This project will enable these systems…

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