Chaoyi Pan
Chaoyi Pan is a Ph.D. student in Electrical and Computer Engineering at Carnegie Mellon University, where he is advised by Prof. Guanya Shi and Prof. Guannan Qu. His research focuses on the intersection of learning-based generative models and model-based control for robotics. He is best known for his work on SPIDER (Scalable Physics-Informed Dexterous Retargeting), a physics-based framework for transforming human motion data into dynamically feasible robot trajectories, as well as his research on model-based diffusion for trajectory optimization.
“Chaoyi Pan. Cited for foundational work on SPIDER (Scalable Physics-Informed Dexterous Retargeting), the state-of-the-art retargeting method that this paper builds on and extends.”
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