My research aims to develop and unify techniques from both nonlinear control theory and machine learning to systematically achieve stable and robust robotic-assisted locomotion. This includes developing efficient methods of user customization via human-robot interaction as well as studying the efficacy of assisted locomotion in clinical settings.
Learning controller gains on bipedal walking robots via user preferences
Noel Csomay-Shanklin, Maegan Tucker, Min Dai, and 2 more authors
In 2022 International Conference on Robotics and Automation (ICRA) 2022