Minglu Zhu
Minglu Zhu
Soochow University; National University of Singapore
Verified email at
Cited by
Cited by
Haptic-feedback smart glove as a creative human-machine interface (HMI) for virtual/augmented reality applications
M Zhu, Z Sun, Z Zhang, Q Shi, T He, H Liu, T Chen, C Lee
Science Advances 6 (19), eaaz8693, 2020
Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications
T Jin, Z Sun, L Li, Q Zhang, M Zhu, Z Zhang, G Yuan, T Chen, Y Tian, ...
Nature communications 11 (1), 5381, 2020
Self-powered and self-functional cotton sock using piezoelectric and triboelectric hybrid mechanism for healthcare and sports monitoring
M Zhu, Q Shi, T He, Z Yi, Y Ma, B Yang, T Chen, C Lee
ACS nano 13 (2), 1940-1952, 2019
Machine learning glove using self‐powered conductive superhydrophobic triboelectric textile for gesture recognition in VR/AR applications
F Wen, Z Sun, T He, Q Shi, M Zhu, Z Zhang, L Li, T Zhang, C Lee
Advanced science 7 (14), 2000261, 2020
Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications
Z Zhang, T He, M Zhu, Z Sun, Q Shi, J Zhu, B Dong, MR Yuce, C Lee
npj Flexible Electronics 4 (1), 29, 2020
Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems
M Zhu, T He, C Lee
Applied Physics Reviews 7 (3), 2020
Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem
J Zhu, M Zhu, Q Shi, F Wen, L Liu, B Dong, A Haroun, Y Yang, P Vachon, ...
EcoMat 2 (4), e12058, 2020
Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions
Z Sun, M Zhu, X Shan, C Lee
Nature communications 13 (1), 5224, 2022
Making use of nanoenergy from human–Nanogenerator and self-powered sensor enabled sustainable wireless IoT sensory systems
M Zhu, Z Yi, B Yang, C Lee
Nano Today 36, 101016, 2021
Triboelectric self-powered wearable flexible patch as 3D motion control interface for robotic manipulator
T Chen, Q Shi, M Zhu, T He, L Sun, L Yang, C Lee
ACS nano 12 (11), 11561-11571, 2018
Artificial Intelligence of Things (AIoT) enabled virtual shop applications using self‐powered sensor enhanced soft robotic manipulator
Z Sun, M Zhu, Z Zhang, Z Chen, Q Shi, X Shan, RCH Yeow, C Lee
Advanced Science 8 (14), 2100230, 2021
Self-powered glove-based intuitive interface for diversified control applications in real/cyber space
T He, Z Sun, Q Shi, M Zhu, DV Anaya, M Xu, T Chen, MR Yuce, ...
Nano Energy 58, 641-651, 2019
Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system
M Zhu, Z Sun, T Chen, C Lee
Nature communications 12 (1), 2692, 2021
Battery-free short-range self-powered wireless sensor network (SS-WSN) using TENG based direct sensory transmission (TDST) mechanism
F Wen, H Wang, T He, Q Shi, Z Sun, M Zhu, Z Zhang, Z Cao, Y Dai, ...
Nano Energy 67, 104266, 2020
Triboelectric nanogenerator enabled wearable sensors and electronics for sustainable internet of things integrated green earth
Y Yang, X Guo, M Zhu, Z Sun, Z Zhang, T He, C Lee
Advanced Energy Materials 13 (1), 2203040, 2023
An epidermal sEMG tattoo-like patch as a new human–machine interface for patients with loss of voice
H Liu, W Dong, Y Li, F Li, J Geng, M Zhu, T Chen, H Zhang, L Sun, C Lee
Microsystems & nanoengineering 6 (1), 16, 2020
Self-powered multifunctional monitoring system using hybrid integrated triboelectric nanogenerators and piezoelectric microsensors
C Sun, Q Shi, D Hasan, MS Yazici, M Zhu, Y Ma, B Dong, Y Liu, C Lee
Nano Energy 58, 612-623, 2019
Triboelectric single-electrode-output control interface using patterned grid electrode
Q Shi, C Qiu, T He, F Wu, M Zhu, JA Dziuban, R Walczak, MR Yuce, ...
Nano Energy 60, 545-556, 2019
Progress in the triboelectric human–machine interfaces (HMIs)-moving from smart gloves to AI/haptic enabled HMI in the 5G/IoT era
Z Sun, M Zhu, C Lee
Nanoenergy Advances 1 (1), 2021
Soft modular glove with multimodal sensing and augmented haptic feedback enabled by materials’ multifunctionalities
M Zhu, Z Sun, C Lee
ACS nano 16 (9), 14097-14110, 2022
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