// PERSON
Pratyaksh Prabhav Rao
AT ARXIVMENTIONS 1LAST SEEN JUNE 22, 2026
// BIO
Pratyaksh Prabhav Rao is a robotics researcher affiliated with the University of California, Berkeley, where he works with Giuseppe Loianno in the Department of Electrical Engineering and Computer Sciences. He previously completed a Master of Science in Electrical Engineering at New York University. He is best known for his work on learned dynamics models for quadrotor control, including the SkyJEPA framework for zero-shot sim-to-real transfer and long-horizon quadrotor dynamics prediction.
// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
product·arXiv Physical AI·JUNE 22, 2026
“SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.