Woojeh Chung
Applied Scientist
Amazon Web Services (AWS) AI
woojeh [AT] amazon.com
Hey everyone!
I am an Applied Scientist at Amazon Web Services (AWS) AI, where I work on agentic systems.
I received my M.S. in Computer Science from UC San Diego, where I was a member of the Existential Robotics Lab,
advised by Prof. Nikolay Atanasov.
Before that, I earned my B.S. in Computer Science (minor in Statistics) from Arizona State University,
where I did research with Prof. Suren Jayasuriya and Prof. Kookjin Lee.
My research focuses on intelligent systems that can reason and act over long horizons, both as LLM-based agents in digital environments and as robots in the physical world. My long-term goal is to build agents that can perceive their surroundings, remember what matters, plan multi-step actions, and adapt on the fly to bridge the gap between high-level reasoning and low-level execution.
My core research areas include:
Outside of work I enjoy playing soccer ⚽️, tennis 🎾, brewing coffee ☕️, and cooking 🍽️.
Seeing the Bigger Picture: 3D Latent Mapping for Mobile Manipulation Policy Learning
Sunghwan Kim, Woojeh Chung, Zhirui Dai, Dwait Bhatt, Arth Shukla, Hao Su, Yulun Tian, Nikolay Atanasov
ICRA 2026
RSS 2025 MOMA Workshop (Oral)
RSS 2025 RoboReps Workshop (Best Paper Nomination)
Unsupervised Moving Object Segmentation with Atmospheric Turbulence
Dehao Qin, Ripon Kumar Saha, Woojeh Chung, Suren Jayasuriya, Jinwei Ye, Nianyi Li
European Conference on Computer Vision (ECCV) 2024
Amazon Web Services (AWS) AI
May 2026 – Present
Applied Scientist
Amazon.com
Jun. 2025 – May 2026
Jr. Applied Scientist
Host: Bo Liao, Jia-Kai Chou
University of California, San Diego - ERL
Sep. 2024 – Jun. 2026
Graduate Student Researcher
Advisor: Nikolay Atanasov
Arizona State University - Imaging Lyceum & DML Lab
May. 2023 – May. 2024
Undergraduate Researcher
Advisor: Suren Jayasuriya, Kookjin Lee
Qualcomm RB3 Color Cube Perception and Grasping
Woojeh Chung*, Hyunjin Kim*, Jeongeun Lee*
Supervised by Henrik I. Christensen, Sriraj Kandala and Ramakrishna Kintada
Qualcomm University Relations Platforms Symposium, 2025
End-to-end, on-device manipulation pipeline on Qualcomm's RB3 platform for real-time vision-guided pick-and-place.
Full CV in PDF.