Dr. Wanxin Jin is a postdoctoral researcher in the Department of Mechanical Engineering and Applied Mechanics working with Prof. Michael Posa. His research interests lie at the intersection of control, machine learning, and optimization, with the long-term goal to develop fundamental theories and methods, by deeply integrating the benefits of those domains, for advanced autonomy of robots and human-robot systems. He has been working on the related topics including differentiable control and learning, safe learning and control, inverse optimal control (inverse reinforcement learning), optimal control, and motion planning, with applications in learning from demonstrations, learning with human on-the-loop, and robot learning and control for contact manipulations.
Dr. Wanxin Jin received his Ph.D. degree in control and autonomy from the School of Aeronautics and Astronautics, Purdue University, in 2021. From 2016 to 2017, he was a Research Assistant with the Chair of Information-Oriented Control, Technical University Munich, Germany. He received his B.E. degree in automation and M.Sc. degree in control science and engineering from Harbin Institute of Technology, Harbin, China, in 2014 and 2016, respectively.