Skip to the ledger

GrantClerk

NSF award 2548766 · Arizona State University

FRR: Generative-Optimization Synergy for Policy Imitation in Contact-Rich Manipulation

Final report due

29 December 2029

in 1,168 days · The award ends on 31 August 2029.

GrantClerk is a private service. We are not NSF or any government agency.

Dates this award owes

NSF emails you about this too.

  • Decide about an extension3 May 2029in 928 days

    award ending 2029-08-31 · Research.gov

  • Extension request17 Jul 2029in 1003 days

    award ending 2029-08-31 · Research.gov

  • No-cost extension notice21 Aug 2029in 1038 days

    award ending 2029-08-31 · Research.gov

  • Final report due29 Dec 2029in 1168 days

    award ending 2029-08-31 · Research.gov

  • Project outcomes report due29 Dec 2029in 1168 days

    award ending 2029-08-31 · Research.gov

  • Award is closed out29 Dec 2029in 1168 days

    award ending 2029-08-31 · Research.gov

Annual report dates come from the budget period on your award notice. That date is not public, so it is not shown here.

How we got this date

  1. NSF lists this award's end date as 31 August 2029.
  2. NSF rules say the final report is due no later than 120 days after that.
  3. So the final report is due by 29 December 2029.

Read the rule on Research.gov

Get a note before each report date

Add this award to your desk. We email you before each date and keep the dates in one place.

Renews each year until you cancel. Cancel any time from your account.

Already a member? Sign in

Award card

Award number
2548766
Period of support
1 Sep 2026 – 31 Aug 2029
Amount
$370,487
Awardee
Arizona State University, Scottsdale, AZ
Program
FRR-Foundationl Rsrch Robotics
Directorate
CSE

Abstract

Abstract Human hands manipulate objects with remarkable skill, constantly making and breaking contact to grasp, turn, and reposition items of many shapes. Robots still struggle with this ability, limiting their use in factories and homes. Artificial intelligence (AI) offers a promising path by enabling robots to learn manipulation skills from human examples. However, today’s methods often require people to operate…

Is this right?

We copy this from the public NSF award record. Your award notice and NSF always win. If a date looks wrong, check Research.gov.