26 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.RO2024
Beyond Gait: Learning Knee Angle for Seamless Prosthesis Control in Multiple Scenarios
Pengwei Wang, Yilong Chen, Wan Su +3
Deep learning models have become a powerful tool in knee angle estimation for lower limb prostheses, owing to their adaptability across various gait phases and locomotion modes. Cu…
cs.RO2023
A Learning Quasi-stiffness Control Framework of a Powered Trans-femoral Prosthesis for Adaptive Speed and Incline Walking
Teng Ma, Shucong Yin, Zhimin Hou +4
Impedance-based control represents a prevalent strategy in the powered trans femoral prostheses because of its ability to reproduce natural walking. However, most existing studies…
cs.RO2022★ 26 cited
A Piecewise Monotonic Gait Phase Estimation Model for Controlling a Powered Transfemoral Prosthesis in Various Locomotion Modes
Xinxing Chen, Chuheng Chen, Yuxuan Wang +4
Gait phase-based control is a trending research topic for walking-aid robots, especially robotic lower-limb prostheses. Gait phase estimation is a challenge for gait phase-based co…