Wanxin Jin is a tenure-track Assistant Professor at Arizona State University developing robot interactive intelligence that enables seamless human-robot interaction and dexterous object/environment manipulation. With a PhD in Control and Autonomy from Purdue and a decade of research experience spanning the University of Pennsylvania and Technical University of Munich, she blends model-based control and optimization with data-driven machine learning to get the best of both worlds. Her work sits at the intersection of control theory and modern learning methods, focusing on provable, practical approaches for real-world robotic behavior. She brings a strong experimental and theoretical toolkit, translating complex control algorithms into systems that operate robustly around people. Based in Tempe, AZ, she is building a research program that emphasizes interaction fidelity and manipulation competence rather than incremental improvements in isolated benchmarks.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Control and Autonomy, Doctor of Philosophy - PhD, Control and Autonomy at Purdue University
Contributions:34 commits, 36 pushes, 4 branches in 2 years 6 months
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Wanxin Jin - Assistant Professor at Arizona State University