Personalized robotic assistance for patients with mobility challenges
A new framework for self-adaptive artificial intelligence to personalize assistance for patients using robotic exoskeletons and prostheses
This study is working on smart robotic legs and suits that can learn how you walk, helping people with mobility challenges, like those who have had amputations or strokes, move better and stay safe from falls.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Georgia Institute of Technology NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-10472098 on NIH RePORTER |
What this research studies
This research focuses on developing advanced robotic prostheses and exoskeletons that can adapt to the unique walking patterns of patients with mobility challenges, such as those who have experienced amputations or strokes. By utilizing a new artificial intelligence framework, the project aims to enhance the ability of these devices to provide personalized assistance, improving mobility and reducing the risk of falls. The approach involves creating predictive algorithms that can accurately interpret user intent and optimize robotic control in real-world environments. Ultimately, the goal is to improve the quality of life for individuals facing mobility issues through innovative technology.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with amputations or those recovering from strokes who experience mobility challenges.
Not a fit: Patients who do not have mobility impairments or those who are not candidates for robotic assistance may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly enhance mobility and quality of life for patients using robotic prostheses and exoskeletons.
How similar studies have performed: Previous research has shown promise in using adaptive robotic technologies for improving mobility, indicating that this approach has the potential for significant advancements.
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.