About

Wai-keung Fung is a researcher whose work spans robotics, teleoperation, and artificial intelligence, with foundational contributions to Internet-based remote robotic systems. His most influential research addresses one of telerobotics' central challenges: enabling humans to operate robots effectively across networked environments despite latency, bandwidth constraints, and limited sensory feedback. His landmark 2001 paper on haptic information in Internet-based teleoperation (137 citations) established the critical role of tactile sensing in remote task execution, while his 2003 work on supermedia-enhanced telerobotics (100 citations) introduced innovative frameworks integrating video, audio, haptic, and thermal feedback into cohesive real-time control systems. Fung further advanced the field through studies on multi-site cooperative teleoperation, dynamic Quality-of-Service bandwidth allocation, and 3D stereoscopic visual feedback, collectively demonstrating his commitment to making remote robotic operation more intuitive and reliable. His practical contributions extend to healthcare robotics, notably a hospital transport robot utilizing natural landmarks for autonomous navigation. More recently, Fung has broadened his scope to artificial intelligence applications in public health, contributing a widely cited review on AI for COVID-19 containment (61 citations). Across more than two decades of research, his work has consistently bridged theoretical innovation with real-world applicability.

Research Focus

Key Achievements

13
H-Index
20
Papers
553
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Haptic information in Internet-based teleoperation
137 citations · 2001
📈 Most Prolific Year: 2002 (5 Papers)
🤝 Key Collaborators: 47
🏛 Institutions: Chinese University of Hong Kong, Michigan State University, Cardiff Metropolitan University, Robert Gordon University, University of Manitoba

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago