Teahose.
SIGN IN
NEW HERE — WHAT TEAHOSE DOES
We read the entire AI & tech firehose — so you don't have to.
PODPodcastsAll-In, No Priors, Acquired…
NEWNewslettersStratechery, Newcomer…
PAPPapersPhysical AI research
PHProduct Huntdaily launches
VCInvestor ScoutSequoia, a16z, Benchmark…
CLAUDE DISTILLS →
7 reads, 30 sec each — free, 6 AM ET.
+ a live graph of the companies, people & themes underneath.
HOME/PEOPLE/CHAOYI PAN
// PERSON

Chaoyi Pan

MENTIONS 1LAST SEEN JUNE 17, 2026
// BIO

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.

// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
mention·arXiv Physical AI·JUNE 17, 2026

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.

Source

AI-extracted from podcast / newsletter / paper summaries. May contain errors.