We present Splatblox, a real-time system for autonomous navigation in outdoor environments with dense vegetation, irregular obstacles, and complex terrain. Our method fuses segmented RGB images and LiDAR point clouds using Gaussian Splatting to construct a traversability-aware Euclidean Signed Distance Field (ESDF) that jointly encodes geometry and semantics. Updated online, this field enables semantic reasoning to distinguish traversable vegetation (e.g., tall grass) from rigid obstacles (e.g., trees), while LiDAR ensures 360-degree geometric coverage for extended planning horizons. We validate Splatblox on a quadruped robot and demonstrate transfer to a wheeled platform. In field trials across vegetation-rich scenarios, it outperforms state-of-the-art methods with over 50% higher success rate, 40% fewer freezing incidents, 5% shorter paths, and up to 13% faster time to goal, while supporting long-range missions up to 100 meters. Experiment videos and more details can be found on our project page: https://splatblox.github.io
TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues
Shenzhen Key Laboratory of Robotics and Computer Vision（深圳机器人与计算机视觉重点实验室）；Southern University of Science and Technology（南方科技大学）；CKS Robotics Institute（CKS机器人研究所）；Hong Kong University of Science and Technology（香港科技大学）；College of Electrical and Information Engineering（电气与信息工程学院）
Trinity: Unifying Class-Agnostic Terrain and Semantic Segmentation for Unstructured Outdoor Environments by Leveraging Synthetic Data
Institute of Robotics and Mechatronics, German Aerospace Center (DLR)（机器人与机电系统研究所，德国航空航天中心（DLR））；Federal Institute of Technology Zurich (ETH Zurich)（苏黎世联邦理工学院（ETH Zurich））；Robotics and AI Institute (RAI)（机器人与人工智能研究所（RAI））
ZeST: A VLM-based Zero-Shot Traversability Navigation for Unknown Environments
Field Robotics Engineering and Science Hub (FRESH), Illinois Autonomous Farm, University of Illinois at Urbana-Champaign (UIUC), IL（伊利诺伊大学厄巴纳-香槟分校）；Mobile Robotics Group, São Carlos School of Engineering, University of São Paulo (EESC-USP), São Carlos, SP, Brazil（圣保罗大学）
AnyTraverse: An off-road traversability framework with VLM and human operator in the loop
Department of Electrical Engineering and Computer Science, Indian Institute of Science Education and Research Bhopal（电子工程与计算机科学系，印度科学教育与研究学院布达佩斯分校）；Department of Mechanical Engineering, Texas A&M University（机械工程系，德克萨斯A&M大学）
Dual-BEV Nav: Dual-layer BEV-based Heuristic Path Planning for Robotic Navigation in Unstructured Outdoor Environments
Software Engineering Institute, East China Normal University（华东师范大学软件工程学院）；School of Geospatial Information, Information Engineering University（信息工程大学地理空间信息学院）；College of Computer and Cyber Security, Fujian Normal University（福建师范大学计算机与网络空间安全学院）
针对非结构化室外环境路径规划难题，提出 Dual-BEV Nav 方法，通过整合局部与全局 BEV 可通行性建立双层启发式规划范式，显著提升了时间距离预测精度并实现了长距离室外导航。
Topological mapping for traversability-aware long-range navigation in off-road terrain
Center for Intelligent Machines, McGill University（麦吉尔大学智能机器中心）；Gault Nature Reserve（戈尔特自然保护区）；CMLabs（CMLabs公司）；National Canadian Robotics Network（加拿大国家机器人网络）
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
University of Illinois at Urbana-Champaign (UIUC)（伊利诺伊大学厄巴纳-香槟分校）；Field Robotics Engineering and Science Hub (FRESH)（野外机器人工程与科学中心）；Illinois Autonomous Farm（伊利诺伊自主农场）
Jet Propulsion Laboratory（喷气推进实验室）；California Institute of Technology（加州理工学院）；Swiss Federal Institute of Technology（瑞士联邦理工学院）；ETH Zürich（苏黎世联邦理工学院）；FieldAI Inc.（FieldAI公司）；Stanford University（斯坦福大学）；University of California Berkeley（加州大学伯克利分校）
DR. Nav: Semantic-Geometric Representations for Proactive Dead-End Recovery and Navigation
Dept. of Computer Science at the University of Virginia（弗吉尼亚大学计算机科学系）；Dept. of Computer Science at the University of Maryland College Park（马里兰大学学院市计算机科学系）
KiteRunner: Language-Driven Cooperative Local-Global Navigation Policy with UAV Mapping in Outdoor Environments
Software Engineering Institute, East China Normal University（华东师范大学软件工程学院）；School of Geospatial Information, Information Engineering University（信息工程大学地理空间信息学院）；Institute of Machine Intelligence (IMI), University of Shanghai for Science and Technology（上海理工大学机器智能研究院）；School of Software, Liaoning Technical University（辽宁工程技术大学软件学院）；Fujian (Quanzhou) Institute of Advanced Manufacturing Technology（福建（泉州）先进制造技术研究院）
