VOOZH about

URL: https://jayjunlee.github.io/

⇱ Jayjun Lee


Jayjun Lee

Welcome! I'm a PhD student in Robotics at the University of Michigan and a Robotics research intern at the Dexterity team at NVIDIA. I'm fortunate to be advised by Professor Nima Fazeli and to be a member of the Manipulation and Machine Intelligence (MMINT) Lab. My research focuses on robot learning and dexterity to develop robots that can perceive and interact with the physical world.

I graduated from Imperial College London where I received my BEng in Electronic and Information Engineering. Previously, I worked with Professor Ad Spiers in the Manipulation and Touch Lab. I also worked with Professor Joyce Chai in the Situated Language and Embodied Dialogue (SLED) Lab and Professor Cindy Chestek in the Cortical Neural Prosthetics Lab.

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Email: [unscramble]

Jun 2026

We released the Cosmos 3 Omnimodal World Models for Physical AI!

May 2026

RoboMME is accepted to ICML 2026 as Spotlight & Oral in Seoul, Korea!

Apr. 2026

HydroShear is accepted to RSS 2026 in Sydney, Australia!

Mar. 2026

Invited talk at Isaac Lab Round Table at NVIDIA GTC 2026!

Jan. 2026

VA2Contact is accepted to ICRA 2026 in Vienna, Austria!

Jan. 2026

I joined the Dexterity team at NVIDIA as a Robotics research intern!

Sep. 2025

I'm co-organizing Human-to-Robot workshop at CoRL 2025!

Aug. 2025

AimBot is accepted to CoRL 2025 in Seoul, Korea!

Apr. 2025

ViTaSCOPE is accepted to RSS 2025 in Los Angeles!

Jan. 2025

RACER is accepted to ICRA 2025 in Atlanta!

Jan. 2025

COMFORT is accepted to ICLR 2025 in Singapore!

Oct. 2024

RACER won the Best Overall Award at UM AI Symposium 2024!

Sep. 2024

NISP is accepted to CoRL 2024 in Munich, Germany!
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Some recent highlights from our research:
UM AI Symposium 2024 Best Overall Award
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* indicates equal contribution
👁 https://hydroshear.github.io/
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👁 https://basavasagarkp.github.io/temp_samp/
👁 https://aimbot-reticle.github.io/
👁 https://jayjunlee.github.io/vitascope/
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Naturalistic Robot Arm Trajectory Generation via Representation Learning

and Adam Spiers

PDF

Based on the template from here.