Jonathan Yang

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Hello! I’m a second year PhD student at Stanford University advised by Professor Chelsea Finn and Dorsa Sadigh. My research interests lie in developing large-scale foundational robotic agents that are broadly generalizable to new environments and tasks. My long-term goal is to enable scalable lifelong robotic learning in the real world.

Previously, I’ve obtained a B.S. in EECS at UC Berkeley and conducted research in the Robotic AI and Learning Lab.

For more information, check out my CV and [Google Scholar][https://scholar.google.com/citations?user=UAWfBEoAAAAJ&hl=en]!

selected publications

  1. extremecrossembodiment.png
    Extreme Cross-Embodiment Learning for Manipulation and Navigation
    Jonathan Yang, Catherine Glossop, Arjun Bhorkar, and 5 more authors
    2024
  2. polybot.png
    Polybot: Training One Policy Across Robots While Embracing Variability
    Jonathan Yang, Dorsa Sadigh, and Chelsea Finn
    2023
  3. ariel.png
    Don’t Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
    Homer Walke, Jonathan Yang, Albert Yu, and 4 more authors
    2022
  4. cog.png
    COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
    Avi Singh, Albert Yu, Jonathan Yang, and 3 more authors
    2020
  5. droid.png
    DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
    Alexander Khazatsky, Karl Pertsch, Suraj Nair, and 96 more authors
    2024