Wei-Liang Tay
Papers
1
Total Citations
114
H-Index
1
About
Wei-Liang Tay is a researcher at the forefront of human-robot interaction and augmented reality (AR) in surgical robotics. His work centers on developing intuitive, vision-based interfaces that bridge the gap between surgeons and robotic systems, with a particular emphasis on hand gesture control and direct AR overlays. His most-cited paper, "Hand gesture guided robot-assisted surgery based on a direct augmented reality interface" (2014), has garnered 114 citations, establishing a foundational approach for non-contact, gesture-driven surgical assistance. Tay’s major contribution lies in demonstrating how AR can be used not just for visualization, but as an active control medium—allowing surgeons to guide robotic instruments through natural hand movements without breaking sterile protocols. This work has influenced subsequent research in medical robotics, teleoperation, and intraoperative guidance systems. By combining computer vision, robotics, and human factors, Tay has helped advance safer, more ergonomic surgical workflows. His research continues to inspire students and engineers working at the intersection of AR and robot-assisted surgery, offering a glimpse into a future where surgeons interact with machines as seamlessly as they do with their own hands.
Research Focus
Key Achievements
Top Papers
- 1