
Socially Assistive Robots
Our research in socially assistive robots focuses on developing intelligent systems that can provide support and assistance in various care and educational environments, particularly for elderly care and supporting students with disabilities.
Ongoing Projects
A novel fall detection system that enhances the YOLOv7 deep learning architecture to distinguish between fall and non-fall postures in elderly individuals. The system integrates object detection and pose classification in a single inference step, deployed on a NAO humanoid robot for real-time monitoring with immediate caregiver alerts.
An advanced question answering system that enhances relation linking by integrating context-aware semantic knowledge graphs. The system combines lexical information, embedding-based similarity, and entity-level data to improve accuracy and interpretability in retrieving relevant property candidates from knowledge bases.
Learn More About Our Work
Interested in this research area? Explore our team and other projects.
