Yongzhe Xu
Papers
1
Total Citations
2
H-Index
1
About
Yongzhe Xu is a researcher focused on assistive robotics and human-robot interaction, with a particular emphasis on developing accessible control systems for individuals with physical disabilities. His most cited work, "Hands-free Robot Control System Using Mouth Tracking" (2011), introduces a novel approach that enables disabled users—who cannot operate traditional joysticks or keyboards—to control robots using mouth movements. The system leverages the Adaboost feature detection algorithm for robust mouth tracking, offering a practical, hands-free alternative that enhances independence and quality of life for users with limited upper limb mobility. Although this paper has garnered 2 citations, it represents an early and impactful contribution to the field of accessible robotics, highlighting Xu’s commitment to inclusive technology design. His research bridges computer vision and assistive engineering, demonstrating how real-time facial feature tracking can be repurposed for intuitive robot control. Xu’s work serves as a foundation for subsequent studies in non-contact human-machine interfaces, underscoring the potential of vision-based systems to empower underserved populations. His contributions are particularly valuable for students and researchers exploring low-cost, accessible solutions in rehabilitation robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
- 1Hands-free Robot Control System Using Mouth Tracking2 citations · 2011