Research Directions
We develop intelligent robotic systems that understand, enhance, and restore human movement through innovations in robotics, biomechanics, artificial intelligence, and healthcare.
Our research spans from fundamental understanding of human movement to clinical applications that improve mobility and quality of life. We leverage advanced computational tools to bridge the gap between human and robot, creating personalized assistive technologies.
Our Focus Areas
Understand Human Movement
- Computer vision for human motion analysis
- Wearable sensing and biomechanics
- sEMG-based intent recognition
- Human balance assessment
- AI for movement understanding
Enhance Human Performance
- Exoskeletons for balance augmentation
- Fall prevention technologies
- Joint load reduction
- Injury prevention
- Occupational and sports applications
Restore Human Mobility
- Parkinson's disease rehabilitation
- Stroke rehabilitation
- Neurological movement disorders
- Personalized robotic therapy
- Assistive mobility technologies
These applications are enabled by foundational technologies in:
Human–Robot Interaction
- Human adaptation to robotic assistance
- Shared control systems
- Personalized assistance strategies
- User-centered robotic design
Digital Twins
- Personalized human digital twins
- Human–robot co-simulation
- Physics-based modeling
- Data-driven hybrid models
- Virtual prototyping and optimization
Embedded AI
- Edge AI for wearable robots
- Real-time intent recognition
- Adaptive control algorithms
- Multimodal sensor fusion
- On-device learning