Machine Learning for Dynamic Tracking and Control

Research Description 

We are developing machine learning algorithms to track, model, and control multibody dynamic systems. Our algorithms are deployed on mobile devices and control hardware units. Applications include markerless tracking for human movement biomechanics, control of autonomous vehicles, automotive powertrain models, and environment recognition systems for robotic lower-limb exoskeletons and prostheses.