Papers

24

Total Citations

582

H-Index

14

About

Honghao Lyu is a leading researcher at the intersection of wearable sensing, human-robot interaction, and healthcare robotics. His work centers on enabling intuitive, safe, and intelligent robotic systems for home care and telehealth, with a particular focus on assisting the elderly and vulnerable populations. Lyu’s major contributions include pioneering the WristCam wearable sensor for hand gesture recognition (85 citations), which facilitates natural human-robot collaboration, and developing teleoperation frameworks like GuLiM for medical assistive robots during the COVID-19 pandemic (32 citations). He has also advanced tactile sensing with super-resolution arrays enabled by deep learning (52 citations) and iontronic bimodal sensors for robot skin (34 citations), enhancing robots’ perceptual abilities. His research on IoT-enabled dual-arm motion capture for telerobotics (53 citations) and the impacts of wireless on robot control (44 citations) addresses critical challenges in remote care delivery. With over 450 total citations across his most-cited works, Lyu’s innovations in gesture recognition, tactile sensing, and teleoperation are shaping the future of Healthcare 4.0, making him a key figure in developing assistive robots that can safely and effectively interact with humans in home environments.

Research Focus

Key Achievements

14
H-Index
24
Papers
582
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
WristCam: A Wearable Sensor for Hand Trajectory Gesture Recognition and Intelligent Human–Robot Interaction
85 citations · 2018
📈 Most Prolific Year: 2022 (6 Papers)
🤝 Key Collaborators: 50
🏛 Institutions: Zhejiang University, Zhejiang Lab, KTH Royal Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago