About

Qingyang Yu is a pioneering researcher in flexible electronics and intelligent robotic systems, with a focus on advancing soft sensing technologies and dexterous manipulation. Their major contributions span three interconnected domains: flexible pressure sensors, electronic skin (e-skin), and robotic hand control. Yu’s most-cited work (2022, 34 citations) introduces a flexible capacitive pressure sensor featuring a double-sided microstructure porous dielectric layer, achieving high sensitivity while balancing pressure response range and resolution—a critical advancement often overlooked in the field. This work addresses the growing demand for intelligent sensing in wearable and biomedical applications. In a 2018 study (23 citations), Yu developed smart electronic skin capable of gesture recognition using LSTM neural networks, overcoming challenges of fabrication complexity and cost while enabling autonomous stimulus recognition. Earlier, Yu contributed to the SIA-I Hand (2010), a three-fingered prosthetic hand from the State Key Robotics Laboratory at the Shenyang Institute of Automation, showcasing expertise in distributed control systems. More recently (2023), Yu tackled inverse kinematics for a dulcimer music robot using a PSO algorithm with improved compliance criteria. With over 60 total citations, Yu’s work bridges materials science, machine learning, and robotics, driving innovations in human-machine interaction and assistive technologies.

Research Focus

Key Achievements

3
H-Index
4
Papers
62
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Flexible Capacitive Pressure Sensor Based on a Double-Sided Microstructure Porous Dielectric Layer
34 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: China University of Petroleum, East China, Guangdong University of Technology, Shenyang Institute of Automation, China University of Geosciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago