Papers
2
Total Citations
12
H-Index
2
About
Shengyun Liang is a researcher at the intersection of biomechanics, rehabilitation robotics, and open-source technology. His work critically examines the bilateral functional differences of lower limb muscles, challenging the long-held gait symmetry hypothesis in active rehabilitation robots. By quantitatively evaluating surface electromyographic (sEMG) signals during standing and walking, Liang has provided foundational insights that could improve the design of more natural and effective robotic assistive devices. His most cited paper (2016, 8 citations) directly addresses this controversy, highlighting the need for asymmetric control strategies in rehabilitation. Beyond biomechanics, Liang is a proponent of accessible innovation, demonstrated by his work on an open-source hardware and software platform for robotics and AI (2016, 4 citations). By integrating tools like Android, Arduino, and OpenCV, he has helped democratize advanced robotics development, lowering both cost and learning barriers. This dual focus—on both the fundamental science of human movement and the practical democratization of technology—positions Liang as a bridge between rigorous physiological research and real-world, low-cost engineering solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2