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.

Email / CV / Scholar / Github

Research

	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 / code
	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 / code
	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 / code
	DARPA Robotic Autonomy in Complex Environments with Resiliency (RACER) University of Washington, 2022
	Semantic Terrain Classification for Off-Road Autonomous Driving Amirreza Shaban, Xiangyun Meng, JoonHo Lee, Byron Boots, and Dieter Fox CoRL*, 2022 arXiv / code
	ARL Scalable, Adaptive, and Resilient Autonomy (SARA) University of Washington, 2021

Miscellanea

Tech Reports
	Exploring OCR-augmented Generation for Bilingual VQA JoonHo Lee and Sunho Park preprint, 2025 arXiv / code

Research

Miscellanea

Tech Reports