Welcome to CILAB
We aim to advance physical AI that can perceive, reason about, and act in the real world. Our research connects multimodal perception, spatial intelligence, and embodied learning to turn observations into meaningful action. We perceive the world, understand the scene, and move into reality. By learning from visual experience, simulation, and real-world interaction, we aim to build intelligent systems that adapt to unfamiliar environments and work alongside people.
Joining Us
Join CILABCILAB is recruiting undergraduate researchers and graduate students to work on computer vision and robotics.
News
PublicationOne paper has been accepted to ICCAS 2026.
PublicationOne paper has been published in Scientific Reports.
PublicationOne paper has been accepted to International Journal of Control, Automation and Systems (IJCAS).
FundingOur lab has been awarded the Basic Research Laboratory (BRL) Program grant from NRF for research on Robot Foundation Models.
FundingOur lab has been awarded a research grant from Electronics and Telecommunications Research Institute (ETRI) for research on Vision-Language Navigation (VLN) Agents.
FundingOur lab has been awarded a research grant from BStar Robotics for research on 3D Reconstruction for Logistics Warehouse Robots.
FundingOur lab has been awarded the Young Researcher Program grant from NRF for research on Vision-Language Navigation (VLN) Agents.
PublicationTwo papers have been accepted to CVPR 2026.
PublicationOne paper has been published in IEEE Transactions on Intelligent Vehicles (TIV) (IF: 14.0, JCR Top 2%).
FundingOur lab has been awarded a research grant from Electronics and Telecommunications Research Institute (ETRI) for the research on Brain Signal Based Image Generation.
FundingOur lab has been awarded a research grant from Korea Electronics Technology Institute (KETI) for research on 3D Reconstruction of Vehicles.
PublicationOne paper has been published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (IF: 20.6, JCR Top 1%).