NSF award 2535892 · University of Texas at Austin

Collaborative Research: Learning In-Context Improvement for Robotic Systems via Training-Time Failure Simulation

Final report due

28 January 2030

in 1,198 days · The award ends on 30 September 2029.

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award ending 2029-09-30 · Research.gov
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Final report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2030in 1198 days
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NSF lists this award's end date as 30 September 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2030.

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Award card

Award number: 2535892
Period of support: 1 Oct 2026 – 30 Sep 2029
Amount: $320,000
Awardee: University of Texas at Austin, Austin, TX
Program: FRR-Foundationl Rsrch Robotics
Directorate: ENG

Abstract

Robots are increasingly present in factories, warehouses, and homes, yet they remain surprisingly brittle. A robot arm tuned to assemble one product cannot adjust when a part changes shape, and a legged robot that walks reliably on pavement stumbles when the ground turns to gravel or a motor wears down. When something unexpected happens, today's robots do not recover or improve — they keep failing in the same way.…

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