Kevin Black
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.
“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.