NSF award 2625825 · University of Alabama Tuscaloosa
FDT-BioTech: Biosignals Fusion-Informed Neuromusculoskeletal Reconstruction in Immersive Digital Twin for Personalized Stroke Gait Rehabilitation Using Lower-Limb Exoskeletons
Final report due
30 April 2030
in 1,290 days · The award ends on 31 December 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 extension2 Sep 2029in 1050 days
award ending 2029-12-31 · Research.gov
- Extension request16 Nov 2029in 1125 days
award ending 2029-12-31 · Research.gov
- No-cost extension notice21 Dec 2029in 1160 days
award ending 2029-12-31 · Research.gov
- Final report due30 Apr 2030in 1290 days
award ending 2029-12-31 · Research.gov
- Project outcomes report due30 Apr 2030in 1290 days
award ending 2029-12-31 · Research.gov
- Award is closed out30 Apr 2030in 1290 days
award ending 2029-12-31 · 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
- NSF lists this award's end date as 31 December 2029.
- NSF rules say the final report is due no later than 120 days after that.
- So the final report is due by 30 April 2030.
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.
Award card
- Award number
- 2625825
- Period of support
- 1 Jan 2027 – 31 Dec 2029
- Amount
- $525,021
- Awardee
- University of Alabama Tuscaloosa, Tuscaloosa, AL
- Program
- OFFICE OF MULTIDISCIPLINARY AC, MSPA-INTERDISCIPLINARY, Disability & Rehab Engineering
- Directorate
- MPS
Abstract
Stroke can weaken one side of the body and make walking slow, uneven, and unsafe. Wearable robotic exoskeletons may help, but their support must be tuned or adjusted for each person. This project will create a digital twin, a computer model that stays linked to a person and a wearable lower-limb exoskeleton. The model will use muscle signals, such as ultrasound images and muscle activations, body motion, foot…
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.
More awards at University of Alabama Tuscaloosa
- Collaborative Research: CNS Core: Small: Privacy by Memory DesignAward 2601526
- Conference: Invention to Innovation: A Workshop Series on Testbed Models for Technology TranslationAward 2554966
- Collaborative Research: Conference: Joint U.S.-Japan Virtual Workshop on AI for ScienceAward 2626803
- SaTC: EDU: Inculcate a culture of preparedness against AI security threats to pervasive robotic systemsAward 2611682
- Collaborative Research: WoU-MMA: RNO-G Data Analysis in the U.S. 2026-2029Award 2607908
- I-Corps: Translation Potential of Battery-Free, Cable-Free Embedded Sensing for Civil Infrastructure MonitoringAward 2627544
- Planning: E-RISE: Future Autonomous Manufacturing Ecosystem of Alabama (FAME-AL)Award 2631711
- Collaborative Research: WoU-MMA: IceCube Data Analysis in the U.S. 2026-2029Award 2608110