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Kaustubh Sridhar

Hi there! I’m a research scientist at Google Deepmind.

I defended my PhD in Electrical and Systems Engineering at the University of Pennsylvania where I was advised by Insup Lee and closely collaborated with Dinesh Jayaraman.

I am interested in creating adaptive generalist agents for the physical and digital worlds. Towards this goal, I have worked on multimodal generative models, deep reinforcement and imitation learning, and in-context learning.

Before starting my PhD, I graduated with honors from the Indian Institute of Technology Bombay.

My CV can be found here.

Work Experience

Awards

  • Oral Presentation (top 1.8% of 11672 submissions) for REGENT at ICLR 2025
  • Best Paper Award Nomination for CODiT at ICCPS 2023
  • Top Reviewer (top 10%), NeurIPS 2022
  • Outstanding Reviewer (top 10%), ICML 2022
  • NSF Travel Grant, ICCPS, 2023
  • Student Travel Grant, American Control Conference, 2022
  • The Dean’s Fellowship, University of Pennsylvania, 2019
  • The Howard Broadwell Fellowship, University of Pennsylvania, 2019
  • SN Bose Scholarship, Gov. of India, 2018
  • KVPY Fellowship, Gov. of India, 2015
  • Dan 1 (black belt), Shotokan Karate Association, 2011

Selected Talks

  • I gave an Oral Talk at ICLR 2025 in Singapore on REGENT, our generalist embodied agent. Please find a recording of this talk (including Q&A) at this link.
  • I gave talks about training adaptive and sample-efficient generalist embodied agents to different audiences:
    • Apr 2025: NTU Singapore
    • Nov 2024: Google Deepmind
    • Nov 2024: Apple MLR

Media

  • Gemini Robotics 2 Media Coverage:
The Verge MIT Tech Review TechCrunch

Additional Coverage: CNET, Mashable, Ars Technica,

  • SIMA 2 Media Coverage:
The Verge MIT Tech Review TechCrunch

Additional Coverage: The RunDown AI, The Decoder, WinBuzzer, SiliconANGLE, Forward Future, The Tech Buzz, Decrypt

  • Spotlight On My Research:

Penn Engineering Today (Blog)

Publications

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