Last updated: 7 - 26 - 2018
LATEST PROJECTS
Project | 01
User Intent Recognition
User intent recognition (UIR) enables transfemoral amputees to walk reliably and seamlessly with powered prostheses. UIR is utilized to infer human gait mode (fast walk, slow walk, etc.) so the controller can be adjusted depending on the detected gait mode. Our research objective is to design a UIR system that is optimal in terms of both accuracy and efficiency. Read more here.
Project | 02
Multi-Objective Optimization of a Prosthetic Leg with Energy Regeneration
We design an optimal passivity based tracking/ impedance control system for a robotic manipulator with energy regenerative electronics, where the manipulator has both actively and semi-actively controlled joints. The methods are applied to a transfemoral prosthesis with a semi-active knee joint. Read more here.
Project | 03
Control, Optimization, and Estimation for Exercise Machine
We developed new approaches to estimation, control, and optimization of advanced energy-regenerative cyber-enabled exercise machines, which extensively estimate mechanical and biomechanical variables, automatically adjust their own resistance (impedance) to maximize a programmable objective, capable of storing the user energy rather than being dissipated by heat, and provide enhanced information to the user. Read more here.