Papers

16

Total Citations

1,761

H-Index

12

About

Minglu Zhu is a pioneering researcher at the forefront of triboelectric nanogenerator (TENG) technology, human-machine interfaces (HMIs), and intelligent robotics. His work focuses on harnessing self-powered sensing systems to revolutionize how humans interact with machines, spanning soft robotics, wearable electronics, and the emerging Artificial Intelligence of Things (AIoT) ecosystem. Zhu's most celebrated contribution — a TENG-based smart soft-robotic gripper system for digital twin applications (2020, 657 citations) — demonstrated how self-powered sensors could capture continuous motion and tactile information with remarkable precision. Building on this, his development of wearable flexible patches and exoskeleton manipulators using bidirectional triboelectric sensors established low-cost, multi-degree-of-freedom control interfaces that democratize advanced human-machine interaction. His AIoT-enabled virtual shop system (2021, 269 citations) further showcased how these technologies integrate seamlessly into real-world industrial automation. Collectively accumulating over 1,700 citations, Zhu's portfolio spans neuromorphic artificial nerve systems, in-orbit spacecraft robotics, and bidirectional HMI frameworks for intelligent robots. His research consistently bridges fundamental materials science with transformative applications in the 5G and IoT era, making him a standout voice in next-generation interactive systems.

Research Focus

Key Achievements

12
H-Index
16
Papers
1,761
Total Citations
110
Avg Citations/Paper
🏆 Most Cited Paper
Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications
657 citations · 2020
📈 Most Prolific Year: 2021 (7 Papers)
🤝 Key Collaborators: 51
🏛 Institutions: National University of Singapore, Suzhou Research Institute, Soochow University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago