Suraj Nair

I work at Physical Intelligence building brains for robots.

I completed my Ph.D. in Computer Science at the Stanford AI Lab, co-advised by Chelsea Finn and Silvio Savarese. My Ph.D. thesis was on Scaling Deep Robotic Learning to Broad Real-World Data.

Previously, I completed my Bachelors at Caltech working on multi-agent RL with Yisong Yue, and also spent time at Toyota Research Institute, Facebook AI Research, Google Brain, and GE.

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Research

My research focuses on building foundation models for robotics:

Pre-training generalist models for robotics that connect vision, language, and robot actions [1, 2, 3]
Creating large-scale datasets for robot learning [1, 2]
Leveraging human data (videos, language) to improve robot learning [1, 2, 3]

Publications (Highlighted Only)

Teaching

Teaching Assistant: Stanford CS 330 [2019, 2020, 2022], Deep Multi-Task and Meta Learning
Teaching Assistant: Caltech CS/EE 155 [2017], Machine Learning/Data Mining
Teaching Assistant: Caltech CS 121 [2016], Introduction to Relational Databases

Service

Reviewer: NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL, ICRA, IROS