Paper seminar materials presented in our lab, grouped by research area. RL Reinforcement Learning 6 Learning to Theorize the World from Observation 이형진2026.08.28 World Models for Robotic Manipulation 임찬우2026.08.14 Distributionally Robust Reinforcement Learning 정선웅2026.08.07 1000 Layer Networks for Self-Supervised RL 이형진2026.07.23 Novelty Detection in RL with World Models 임찬우2026.07.16 Multimodal Reward Modeling via Multi-Stage RL 정선웅2026.07.16 VLA Vision-Language-Action 4 Turning Human Video into Robot Data 신승철2026.08.28 VLA: Reasoning, Efficiency and World Models 송재민2026.08.14 Recent Trends in VLA Models for Robotics 신승철2026.07.23 Reasoning in VLA Models 송재민2026.07.23 Vision Computer Vision 8 Visual Anomaly Detection 김채연2026.08.21 Anomaly Detection, Generation and MLLM 유호현2026.08.21 VGGT: Visual Geometry Grounded Transformer 최성용2026.08.14 Multi-Task Learning (2) 원승우2026.08.07 Pixel Supervision for Visual Pre-training 최성용2026.07.23 Anomaly Detection and Efficient Learning 유호현2026.07.23 Multi-Task Learning (1) 원승우2026.07.17 From Depth Estimation to 4D Scene Understanding 김채연2026.07.16 E2E Autonomous Driving 4 GuideFlow: Constraint-Guided Flow Matching for Planning 김채은2026.08.28 End-to-End Autonomous Driving Architectures 김건우2026.08.21 DiffusionDrive: Truncated Diffusion for E2E Driving 김채은2026.08.07 Recent Trends in End-to-End Autonomous Driving 김건우2026.07.16
