// PERSON
Andy Tang
ROLE PHD RESEARCHERAT STANFORD UNIVERSITYMENTIONS 4LAST SEEN JUNE 11, 2026
// BIO
Co-first author of FRS paper, working at intersection of generative models and robot policy learning at Stanford IRIS Lab.
// RECENT MENTIONS
// SIGNALS
4 SIGNALS
01
product·arXiv Physical AI·JUNE 11, 2026
“FRS is an inference-time mechanism to unlock that latent knowledge without retraining the base model.”
Source→02
mention·arXiv Physical AI·JUNE 11, 2026
“We use OpenPi's π0.5-LIBERO... For all others, we use π0.5 fine-tuned by Jain et al.”
Source→03
mention·arXiv Physical AI·JUNE 11, 2026
“up to 95% absolute task success rate boosts in under a minute of training (Abstract) on 10 trajectories — challenges the assumption that adaptation requires significant data collection infrastructure.”
Source→04
mention·arXiv Physical AI·JUNE 11, 2026
“Authors: Andy Tang, William Chen, Andrew Wagenmaker, Chelsea Finn, Sergey Levine (Stanford + UC Berkeley). Date: June 2025. arXiv: 2606.13675.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.
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