Allen Z. Ren
Allen Z. Ren (Chinese name Zhiyi Ren) is a Member of Technical Staff at Physical Intelligence, where he works on generalist robot foundation models including the π0, π0.5, and π0.7 series. He received his PhD in Mechanical and Aerospace Engineering from Princeton University in 2025 under the supervision of Anirudha Majumdar, with his thesis focused on robust and provably generalizable robot learning. His research spans vision-language-action models, cross-embodiment transfer, and uncertainty quantification in robot learning, and he co-authored the π0.5 paper on open-world generalization for robotic manipulation.
“Following π0.5, the normalized state is discretized into 256 uniform bins and appended to the prompt as text”
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