JoonHo (Brian) Lee
I'm a visting scholar at ARPL Lab in UC Berkeley, where I am working on world models and distributed perception.
I'm interested in building world models for robots to physically understand the world as we do.
My previous research include LiDAR perception and traversability estimation for off-road autonomous navigation.
I received my Master's from the University of Washington, where I was advised by Byron Boots.
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V-STRONG: Visual Self-Supervised Traversability Learning for Off-road Navigation
Sanghun Jung, JoonHo Lee, Xiangyun Meng, Byron Boots, and Alexander Lambert
ICRA, 2024  
arXiv
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code
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LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation
Amirreza Shaban*, JoonHo Lee*, Sanghun Jung*, Xiangyun Meng, and Byron Boots
ICCV, 2023   Oral Presentation (<1.8%)
arXiv
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TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation
Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, JoonHo Lee, Wentao Yuan, Zoey Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, and Amirreza Shaban
RSS, 2023
arXiv
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code
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DARPA Robotic Autonomy in Complex Environments with Resiliency (RACER)
University of Washington, 2022
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Semantic Terrain Classification for Off-Road Autonomous Driving
Amirreza Shaban*, Xiangyun Meng*, JoonHo Lee*, Byron Boots, and Dieter Fox
CoRL, 2022
arXiv
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code
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ARL Scalable, Adaptive, and Resilient Autonomy (SARA)
University of Washington, 2021
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Tech Reports
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Exploring OCR-augmented Generation for Bilingual VQA
JoonHo Lee and Sunho Park
preprint, 2025
arXiv
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code
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