Self‑adjusting AI to personalize help from robotic prostheses and exoskeletons
A new framework for self-adaptive artificial intelligence to personalize assistance for patients using robotic exoskeletons and prostheses
['FUNDING_OTHER'] · GEORGIA INSTITUTE OF TECHNOLOGY · NIH-11381552
This project builds smart AI that helps robotic prostheses and exoskeletons give personalized walking support to people after lower‑limb amputation or stroke.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | GEORGIA INSTITUTE OF TECHNOLOGY (nih funded) |
| Locations | 1 site (ATLANTA, UNITED STATES) |
| Trial ID | NIH-11381552 on ClinicalTrials.gov |
What this research studies
If I join, the team will build AI that learns my walking patterns and changes how a robotic prosthesis or exoskeleton helps me in real time. They will use wearable sensors and predictive machine‑learning to infer my intent and adapt assistance without long, user‑specific training. The researchers plan to test the system outside the lab during community walking so it can work in everyday environments rather than only on treadmills. People with lower‑limb amputation and stroke will try prototype devices in real‑world settings to measure quicker and more accurate adaptation.
Who could benefit from this research
Good fit: Ideal candidates are people with lower‑limb amputation or stroke‑related walking impairment who can participate in device testing and community walking sessions.
Not a fit: People with only upper‑limb problems, those who cannot walk or tolerate device testing, or those with unstable medical conditions are unlikely to receive direct benefit from this project.
Why it matters
Potential benefit: If successful, this could make wearable robotic devices feel more natural, improve walking ability, reduce fall risk, and increase independence for users.
How similar studies have performed: Some lab‑based adaptive control studies have shown promise, but self‑adapting AI that works reliably in real‑world community walking is largely novel and less proven.
Where this research is happening
ATLANTA, UNITED STATES
- GEORGIA INSTITUTE OF TECHNOLOGY — ATLANTA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: YOUNG, AARON JOHN — GEORGIA INSTITUTE OF TECHNOLOGY
- Study coordinator: YOUNG, AARON JOHN
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.