SafeAI (2) - 강명신 발표

SafeAI (1) - 최진우 발표

Why Far Looks Up: Probing Spatial Representation in Vision-Language Models - 권흥찬 발표

Failure Prediction at Runtime for Generative Robot Policies - 이강선 발표

JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation - 강인욱 발표

RynnVLA-002: A Unified Vision-Language-Action and World Model - 이지원 발표

Diffusion Policy Policy Optimization - 김정탁 발표

ViiNeuS: Volumetric Initialization for Implicit Neural Surface reconstruction of urban scenes with limited image overlap - 이연규 발표

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding - 박건 발표

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning - 황지훈 발표

Learned Perceptive Forward Dynamic Model for Safe and Platform - aware Robotic Navigation - 손이인 발표

FRTree Planner: Robot Navigation in Cluttered and Unknown Environments with Tree of Free Regions - 배지성 발표

DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning - 김동욱 발표

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