Milad Azizkhani
Ph.D. Student in Robotics @ Georgia Tech, Roboticist, Control Theorist
Robotics Researcher | Control, Optimization, and Learning for Physical Interaction
I am a Ph.D. student in Robotics at the Georgia Institute of Technology, where I work with Dr. Yue Chen in the BM2 Lab. Before joining Georgia Tech, I received my M.Sc. in Mechatronics Engineering from Amirkabir University of Technology and my B.Sc. in Mechanical Engineering from Bu-Ali Sina University.
My research lies at the intersection of control, optimization, and robot interaction under uncertainty. I develop theory-driven methods for modeling, planning, and controlling robotic systems, and validate them through end-to-end implementation on real hardware. My work has focused on contact modeling, trajectory optimization / MPC, and adaptive and passivity-based control, with experimental validation on high-DoF soft and continuum robotic platforms.
More broadly, I am interested in developing sample-efficient, physically grounded, and robust algorithms that combine model-based structure with learning-based adaptation. My long-term goal is to enable robots to learn to control both their internal dynamics and their interaction with the environment, achieving stable and dexterous behavior under uncertainty.
