Scholar
Allen Z. Ren
Google Scholar ID: mgMzkYMAAAAJ
Physical Intelligence
Citations & Impact
Citations
1,102
H-index
16
i10-index
19
Publications
20
Co-authors
22
list available
Publications
Resume (English only)
Academic Achievements
- - Recipient of the Porter Ogden Jacobus Fellowship (highest honor for grad students at Princeton)
- - CoRL Best Student Paper Award
- - Featured in MIT Technology Review article 'These robots know when to ask for help'
- - Mentioned in Quanta Magazine article 'Machines Learn Better if We Teach Them the Basics'
- - Published multiple papers under review, such as 'π0.5: a Vision-Language-Action Model with Open-World Generalization'
Research Experience
- - Joined Physical Intelligence as a Member of Technical Staff in 2025
- - During PhD, spent time at Google DeepMind, Toyota Research Institute, NVIDIA, and Stanford
- - Summer research internship at Nvidia Autonomous Driving Research in 2024
- - Visiting PhD student at ILIAD Lab at Stanford with Dorsa Sadigh in 2023
- - Student researcher at Google DeepMind with Andy Zeng in 2023
- - Summer research intern at Toyota Research Institute with Hongkai Dai and Ben Burchfiel in 2022
- - Robotics Institute Summer Scholars at Carnegie Mellon University in 2018
Education
- - Ph.D.: Princeton University, advisor Ani Majumdar, 2025
- - B.S. in Mechanical Engineering with a minor in Mathematics; M.S.E. in Robotics from Johns Hopkins University, graduated in 2019 with Robert James F. Bell Award, George Gerstmyer Award, and ASME Best Senior Design Project Award
Background
- Currently at Physical Intelligence (π), working on building generalist robot policies and AI models that power any robot to perform any task in the real world. Research interests include uncertainty quantification of robot learning.
Miscellany
- Personal interests include building self-righting legged robots and a smart guitar that senses forces at fingertips.
