Allen Z. Ren

Researcher, Physical Intelligence

Joined

May 2021

Names

Allen Z. Ren (Preferred)

Emails

****@princeton.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Researcher

Physical Intelligence (physicalintelligence.company)

2025 – Present

PhD student

Princeton University (princeton.edu)

2019 – 2025

Intern

NVIDIA (nvidia.com)

2024 – 2024

Intern

Google DeepMind (google.com)

2023 – 2024

Intern

Toyota Research Institute (tri.global)

2022 – 2022

MS student

Johns Hopkins University (jhu.edu)

2018 – 2019

Undergrad student

Johns Hopkins University (jhu.edu)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Anirudha Majumdar

2019 – 2025

Expertise

Robotics

Machine Learning

Present

Publications

Guiding Data Collection via Factored Scaling Curves
Lihan Zha, Apurva Badithela, Michael Zhang, Justin Lidard, Jeremy Bao, Emily Zhou, David Snyder, Allen Z. Ren, Dhruv Shah, Anirudha Majumdar
- CRLH Spotlight
- Readers: Everyone
Guiding Data Collection via Factored Scaling Curves
Lihan Zha, Apurva Badithela, Michael Zhang, Justin Lidard, Jeremy Bao, Emily Zhou, David Snyder, Allen Z. Ren, Dhruv Shah, Anirudha Majumdar
- OOD Workshop @ RSS2025
- Readers: Everyone
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
Danny Driess, Jost Tobias Springenberg, brian ichter, LILI YU, Adrian Li-Bell, Karl Pertsch, Allen Z. Ren, Homer Walke, Quan Vuong, Lucy Xiaoyang Shi, Sergey Levine
- NeurIPS 2025 spotlight
- Readers: Everyone
Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust
Asher James Hancock, Allen Z. Ren, Anirudha Majumdar
- ICRA-Safe-VLM-WS-2025 Oral
- Readers: Everyone
$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Robert Equi, Chelsea Finn, Niccolo Fusai, Manuel Y. Galliker, Dibya Ghosh, Lachy Groom, Karol Hausman, brian ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Devin LeBlanc, Sergey Levine, Adrian Li-Bell et al. (15 additional authors not shown)
- CoRL 2025 Oral
- Readers: Everyone
Diffusion Policy Policy Optimization
Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz
- CoRL 2024 Workshop MRM-D Oral
- Readers: Everyone
Diffusion Policy Policy Optimization
Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz
- LFDM
- Readers: Everyone
Thinking Forward and Backward: Effective Backward Planning with Large Language Models
Allen Z. Ren, brian ichter, Anirudha Majumdar
- Submitted to ICLR 2025
- Readers: Everyone
Diffusion Policy Policy Optimization
Allen Z. Ren, Justin Lidard, Lars Lien Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, Max Simchowitz
- ICLR 2025 Poster
- Readers: Everyone
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
Anushri Dixit, Zhiting Mei, Meghan Booker, Mariko Storey-Matsutani, Allen Z. Ren, Anirudha Majumdar
- CoRL 2024
- Readers: Everyone

View all 23 publications

Co-Authors

View all 122 co-authors