Papers

4

Total Citations

194

H-Index

3

About

Teck Chew Ng is a leading researcher in medical robotics and human-robot interaction, with his most cited work focusing on soft robotic systems for MRI-guided surgery. His landmark 2021 paper on a soft robotic manipulator for intraoperative MRI-guided transoral laser microsurgery (144 citations) demonstrates his pioneering contributions to integrating compliant robotics with real-time imaging, enabling precise tumor ablation while preserving patient safety in the MRI environment. Ng has also advanced intuitive robot programming through augmented reality and sensor fusion, as seen in his 2010 work on AR-based tool path teaching (16 citations) and his 2005 collaborative-shared control system (32 citations) that reduces operator stress in teleoperation. His research addresses critical challenges in surgical robotics—combining soft materials for MRI compatibility, shared autonomy for safe obstacle avoidance, and intuitive interfaces to streamline clinical workflows. With a career spanning from foundational human-robot collaboration to cutting-edge medical applications, Ng’s work has significantly impacted how robots assist in delicate surgical procedures, offering safer, more accessible solutions for laser microsurgery and beyond.

Research Focus

Key Achievements

3
H-Index
4
Papers
194
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Soft robotic manipulator for intraoperative MRI-guided transoral laser microsurgery
144 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: University of Hong Kong, Singapore Institute of Manufacturing Technology, Singapore Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago