Papers
4
Total Citations
86
H-Index
3
About
Xuan Anh Nguyen is a multidisciplinary researcher whose work spans robotics, artificial intelligence, and advanced manufacturing — fields united by a common thread of intelligent automation and human-machine collaboration. Nguyen's most impactful contribution to date is a 2019 study on surgical skill classification using deep neural networks and motion signals, which has garnered 72 citations and represents a significant advance in automated surgical training and assessment. By leveraging deep learning to objectively distinguish skill levels from motion data, this work offers meaningful implications for medical education and robotic-assisted surgery. Beyond healthcare applications, Nguyen has made notable contributions to robotic additive manufacturing, developing continuous toolpath strategies derived from offset contours for cold spray processes — work aimed at improving geometric accuracy, mechanical properties, and residual stress management in fabricated parts. Earlier research into active intention inference for human-robot collaboration further demonstrates Nguyen's sustained interest in enabling robots to anticipate and respond to human actions intelligently. Collectively, Nguyen's portfolio reflects a researcher committed to bridging intelligent systems with real-world physical tasks, from the operating theatre to the manufacturing floor, making meaningful contributions across several rapidly evolving engineering domains.
Research Focus
Key Achievements
Top Papers
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- 3Active intention inference for robot-human collaboration3 citations · 2017
- 4