From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning - 이강선 발표

MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry - 권흥찬 발표

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning - 이지원 발표

End-to-End Visual Navigation for off-road navigation - 김정탁 발표

Multi-modal fusion for off-road traversability estimation - 이연규 발표

Real-Time Cloud-Edge Collaborative SLAM - 박건 발표

Nested Learning: The Illusion of Deep Learning Architectures , Continuous Thought machines - 강인욱 발표

MonoForce : Learnable Image-conditioned Physics Engine, EVORA : Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy - 배지성 발표

Off-road autonomous seminar: Domain adaptation for off-road traversability estimation - 손이인 발표

FoundationStereo: Zero-Shot Stereo Matching - 김동욱 발표

Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement - 황지훈 발표

Navigation World Models - 이강선 발표

Long Range Navigation (LRN) : Extending Robot Planning Horizons Beyond Metric Maps - 손이인 발표

MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder, MADiff: Offline Multi-agent Learning with Diffusion Models - 강인욱 발표

AerialVLN: Vision-and-Language Navigation for UAVs, Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach - 윤형석 발표