Papers

10

Total Citations

264

H-Index

8

About

Huitaek Yun is a leading researcher at the intersection of smart manufacturing, robotics, and intelligent sensing. His work centers on integrating human expertise with autonomous systems, developing novel approaches to predictive maintenance, human-robot collaboration, and robotic manipulation. Yun’s most impactful contribution is his pioneering use of stethoscope-based internal sound sensors for machine monitoring, demonstrated in his highly cited 2021 paper on autoencoder-based anomaly detection for industrial robot arms (84 citations). This work, along with his development of the internal sound sensor itself (25 citations), provides a cost-effective, non-invasive method for predictive maintenance in smart factories. Yun also advances human-in-the-loop manufacturing through his creation of the Immersive and Interactive Cyber-Physical System (I2CPS) (43 citations) and a human-guided robotic bin picking platform using CNNs (34 citations). His recent integration of exoskeleton systems with digital twins (33 citations) further showcases his commitment to blending human skill with automation. With over 260 total citations, Yun’s research is shaping the future of flexible, human-aware manufacturing.

Research Focus

Key Achievements

8
H-Index
10
Papers
264
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor
84 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Purdue University West Lafayette, Korea Advanced Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago