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

Seeing the Invisible: Advanced Research in IR and Thermal Image - 박건 발표

World Models for Autonomous Driving: An Initial Survey - 이지원 발표

Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting - 황지훈 발표

Pow3r, VGGT - 권흥찬 발표

3D Vision-Language Gaussian Splatting - 김동욱 발표

Diffusion for 3D Large Scene Generation - 이연규 발표

Planning with Diffusion for Flexible Behavior Synthesis - 김정탁 발표

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning - 김정탁 발표

NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models - 손이인 발표

Learning Off-Road Terrain Traversability with Self-Supervisions Only - 김동욱 발표

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation - 황지훈 발표