Yongshan Huang
Papers
2
Total Citations
17
H-Index
2
About
Yongshan Huang is a leading researcher in the field of robotic prosthetics and assistive robotics, with a focus on developing intelligent control systems for lower-limb devices. His primary research areas include adaptive admittance control, human-robot interaction, and robust trajectory tracking for robotic knee prostheses. Huang's major contributions lie in creating control schemes that seamlessly integrate the wearer's motion intention with the prosthesis's dynamics, enabling more natural and intuitive movement. His 2020 paper, "A Robust Adaptive Admittance Control Scheme for Robotic Knee Prosthesis Using Human-Inspired Virtual Constraints" (10 citations), introduced a novel approach that handles partial unknown parameters while ensuring robust performance. Building on this, his 2022 work, "Robust and compliance control for robotic knee prosthesis using admittance model and sliding-mode controller" (7 citations), addressed the critical challenge of achieving both compliance and precise trajectory tracking. These contributions are particularly notable for advancing the state-of-the-art in prosthetic control, offering solutions that enhance user comfort and mobility. Huang's work is highly influential in the rehabilitation robotics community, with his papers serving as foundational references for researchers developing next-generation prosthetic devices that prioritize both safety and natural movement.
Research Focus
Key Achievements
Top Papers
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