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HOME/PEOPLE/KEVIN BLACK
// PERSON

Kevin Black

AT PHYSICAL INTELLIGENCEMENTIONS 1LAST SEEN JULY 26, 2026
// BIO

Kevin Black is a researcher affiliated with Physical Intelligence, a San Francisco-based company developing foundation models and learning algorithms for robotic control. He is known for his work on training-time real-time control (RTC) methods, which simulate latency during post-training to teach models to generate future actions conditioned on already committed actions. His research contributes to the development of vision-language-action systems and robotic manipulation algorithms.

// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
mention·arXiv Physical AI·JULY 26, 2026

training-time RTC simulates this latency during post-training and teaches the model to generate future actions conditioned on already committed actions (Section 3.3, citing Black et al. [5])

Source

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

Kevin Black · Physical Intelligence — 1 mention on Teahose