Papers

4

Total Citations

29

H-Index

3

About

Hsien-Yung Huang is a researcher at the intersection of robotics, biomechanics, and neural control, with a focus on physical human-robot interaction (pHRI) and lower limb neuromechanics. His work centers on understanding how the human body absorbs and transmits energy during interaction with robotic systems, a concept he has advanced through the "excess of passivity" framework—introduced in his most-cited 2020 paper (13 citations). This signature map enables safer, more intuitive control of assistive and rehabilitation robots. Huang has also developed innovative hardware, including a cable-driven robotic interface for identifying hip, knee, and ankle neuromechanics (2020, 9 citations) and the Neuromechanics Evaluation Device (NED) for subject-specific modeling of spinal cord injury patients (2018, 4 citations). His recent pilot study (2023, 3 citations) explores synergy-based mapping to estimate multi-finger forces, pushing toward more natural myoelectric control for prosthetics. By blending robotic design with neurophysiological insight, Huang’s work directly informs the development of personalized, responsive assistive technologies—making him a key contributor to the future of human-centered robotics and rehabilitation engineering.

Research Focus

Key Achievements

3
H-Index
4
Papers
29
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Energetic Passivity Decoding of Human Hip Joint for Physical Human-Robot Interaction
13 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Imperial College London, Department of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago