Event Information |
Microsoft Future Leaders in Robotics and AI Seminar Series: Dhruv Shah The Foundation Model Path to Open-World Robots
Dhruv Shah Abstract
Bio Dhruv Shah is a final year PhD candidate in EECS at UC Berkeley, where he is advised by Sergey Levine. His research spans the fields of machine learning and robotics, with the goal of building autonomous robots that can combine large-scale learning with real-world deployment. Dhruv is a Microsoft Future Leader in Robotics & AI (2024), Berkeley Fellow, and his research was a finalist for the Best Systems Paper Award at RSS 2022. His work has also been featured in several media outlets, including IEEE Spectrum, TechXplore, Two Minute Papers, and ZDNet, along with several international venues. This Event is For: Public |