Jayjun Lee

Welcome! I'm a PhD student in Robotics at the University of Michigan. 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 – developing algorithms for robots to perceive and interact with the physical world. These days I'm interested in multi-modal (i.e. vision, tactile, F/T, language, audio) perception and learning representations to acquire contact- and force-rich manipulation skills.


Formal Bio     Github     Google Scholar     Twitter

Email: jayjun [at] umich [dot] edu

News

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!

* indicates equal contribution

Visual-auditory Extrinsic Contact Estimation

Xili Yi*, Jayjun Lee*, and Nima Fazeli
Under review
Webpage  •   Paper

Neural Inverse Source Problems

Youngsun Wi, Jayjun Lee, Miquel Oller, and Nima Fazeli
Conference on Robot Learning (CoRL) 2024
Webpage  •   Paper  •   Code

Naturalistic Robot Arm Trajectory Generation via Representation Learning

Jayjun Lee and Adam Spiers
Poster @ UK-RAS Towards Autonomous Robotic Systems (TAROS) 2023
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