Lap-Fai Yu

George Mason University

Papers

1

Total Citations

20

H-Index

1

About

Lap-Fai Yu is a leading researcher in virtual reality, human-robot interaction, and intelligent systems. His work focuses on developing accessible, intuitive interfaces that bridge the gap between humans and robots, with a strong emphasis on teleoperation and immersive simulation. One of his most notable contributions is the "WFH-VR" system, which enables users to teleoperate a robot arm to perform complex tasks—such as setting a dining table—from anywhere in the world using a consumer-grade virtual reality headset (Oculus Quest 2) and a low-cost LoCoBot. This work, cited 20 times, demonstrates his commitment to democratizing robotics by making advanced teleoperation easy to replicate and deploy. Yu’s research has significant implications for remote work, assistive technology, and global collaboration, offering practical solutions that reduce barriers to entry in robotics. His achievements highlight a visionary approach to merging VR with real-world robotic control, earning recognition for its innovation and accessibility.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
WFH-VR: Teleoperating a Robot Arm to set a Dining Table across the Globe via Virtual Reality
20 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: George Mason University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago