Suraj Nair (original) (raw)

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