Papers
2
Total Citations
56
H-Index
2
About
Dr. Runfeng Liu is a leading researcher in human–machine interaction, neural interfaces, and robotic control, with a focus on decoding human intent for intuitive prosthetic and robotic systems. His most influential work, "Simultaneous and Proportional Estimation of Multijoint Kinematics From EMG Signals for Myocontrol of Robotic Hands" (2020, 36 citations), pioneers methods for real-time, multi-degree-of-freedom control of robotic hands using electromyographic (EMG) signals, enabling more natural and dexterous manipulation. Earlier, he contributed to the development of stretchable, micron-thick sEMG patches for noninvasive human–machine interfaces (2017, 20 citations), advancing wearable biosignal acquisition through epidermal electronics. Dr. Liu’s research bridges biomechanics, signal processing, and soft materials, directly impacting assistive robotics and rehabilitation technologies. His work has been recognized for its potential to restore hand function in amputees and enhance human–robot collaboration. With a growing citation record, Dr. Liu continues to push the boundaries of myoelectric control, making him a key figure in the next generation of intuitive, wearable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2