Papers

3

Total Citations

27

H-Index

2

About

Min-Young Cho is a pioneering researcher at the intersection of smart materials, sensor technology, and robotics, with key contributions in flexible electronics, mechanoluminescence, and AI-driven automation. Cho’s most cited work (22 citations) introduces an extremely inexpensive, simple carbon fiber electrode integrated with elastomeric nanocomposite sensors, enabling tunable piezo-resistive devices for wearable and robotic applications—a breakthrough that democratizes sensor fabrication. In mechanoluminescence, Cho developed a non-contacting torque transducer using ZnS:Cu microparticles and UV LEDs, offering a cost-effective, durable alternative for stress sensing in mechanical systems. Notably, Cho led Team SK²Y to victory in the 2021 Furniture Assembly AI–Robot Challenge, demonstrating how AI and robotics can autonomously interpret and execute complex assembly tasks, advancing human-robot collaboration in manufacturing. This work bridges material science and artificial intelligence, showcasing Cho’s versatility. With a portfolio spanning from fundamental material innovations to applied robotics, Cho’s research has significant implications for smart infrastructure, human-machine interfaces, and next-generation automation, inspiring students and engineers to explore the synergy between novel materials and intelligent systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
An Extremely Inexpensive, Simple, and Flexible Carbon Fiber Electrode for Tunable Elastomeric Piezo-Resistive Sensors and Devices Realized by LSTM RNN
22 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Kyungpook National University, Korea Electronics Technology Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago