Luke Drnach

PhD Candidate

Robotics Program, Georgia Institute of Technology


  • BS, Bioengineering, University of Pittsburgh, Pittsburgh, PA, 2016
  • MS, Electrical and Computer Engineering, Georgia Tech, Atlanta, GA, 2018
  • PhD, Robotics, Georgia Tech, Atlanta, GA, in progress


My research focuses on leveraging machine learning and control theory techniques to develop physical human-robot interaction as a tool for gait rehabilitation. My current work uses machine learning to create data-driven, dynamical systems models of human gait that may be useful in designing controllers for robot-assisted gait rehabilitation. I have a strong interest in developing models of and designing controllers for physical systems with complex dynamics, such as human gait. My long term career goals include working as a robotics researcher in an industry setting, developing novel control systems for applications of robotics.


Drnach, L, Essa, I, and Ting, L.H. “Identifying Gait Phases from Joint Kinematics during Walking with Switched Linear Dynamical Systems” IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). 2018.