Wanxin Jin

Wanxin Jin is an Assistant Professor in the School for Engineering of Matter, Transport and Energy at Arizona State University. His research focuses on robotics, control, and machine learning, with an emphasis on autonomous systems that interact with humans and complex physical environments. He studies contact-rich robotics, dexterous manipulation, and legged and wheel–legged locomotion, integrating optimization, model predictive control, and learning-based methods to enable robust and adaptive behavior. A central theme of his work is bridging physics-based modeling with data-driven learning, including inverse reinforcement learning, learning from demonstrations, and residual learning for control under uncertainty. Before joining ASU, he was a postdoctoral fellow at the GRASP Laboratory at the University of Pennsylvania. He received his Ph.D. from Purdue University in 2021. His research has appeared in leading venues such as IEEE Transactions on Robotics, Robotics: Science and Systems, IEEE Robotics and Automation Letters, ICML, ICRA, IROS, and NeurIPS workshops, reflecting a strong focus on principled autonomy for robots operating in contact-rich and human-centered settings.