Ensuring robust robotic navigation in dynamic environments is a key challenge, as traditional testing methods often struggle to cover the full spectrum of operational requirements. This paper presents the industrial adoption of Surrealist, a simulation-based test generation framework originally for UAVs, now applied to the ANYmal quadrupedal robot for industrial inspection. Our method uses a search-based algorithm to automatically generate challenging obstacle avoidance scenarios, uncovering failures often missed by manual testing. In a pilot phase, generated test suites revealed critical weaknesses in one experimental algorithm (40.3% success rate) and served as an effective benchmark to prove the superior robustness of another (71.2% success rate). The framework was then integrated into the ANYbotics workflow for a six-month industrial evaluation, where it was used to test five proprietary algorithms. A formal survey confirmed its value, showing it enhances the development process, uncovers critical failures, provides objective benchmarks, and strengthens the overall verification pipeline.
Vision-Language Models for Deployable Social Robot Navigation: Bridging Semantic Reasoning and Low-Level Control
Graduate School of Information Science and Technology, Hokkaido University（弘前大学信息科学与技术研究生院）；Graduate School of Information Science and Technology, The University of Tokyo（东京大学信息科学与技术研究生院）
Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation
School of Computer Science and Technology, East China Normal University（东华大学计算机科学与技术学院）；Bosch Corporate Research（博世企业研究）；King Abdullah University of Science and Technology（卡布斯大学）
DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory
SJTU Paris Elite Institute of Technology, Shanghai Jiao Tong University（上海交通大学巴黎精英技术研究所）；Department of Automation, Shanghai Jiao Tong University（上海交通大学自动化系）；MoE Key Lab of Artificial Intelligence and AI Institute, Shanghai Jiao Tong University（上海交通大学人工智能与AI研究所）
MRHaD: Mixed Reality-based Hand-Drawn Map Editing Interface for Mobile Robot Navigation
Graduate School of Information Science and Technology, The University of Osaka（信息科学与技术研究生院，大阪大学）；D3 Center, The University of Osaka（大阪大学D3中心）；Graduate School of Maritime Sciences, Kobe University（海洋科学研究生院， Kobe大学）
Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems
Berlin Institute of Technology（柏林工业大学）；Chair Industry Grade Networks and Clouds（工业级网络与云研究室）；Faculty of Electrical Engineering, and Computer Science（电气工程与计算机科学学院）；Berlin Institute of Technology, Berlin, Germany（柏林工业大学（德国柏林））；Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science, Berlin Institute of Technology, Berlin, Germany（柏林工业大学电气工程与计算机科学学院工业级网络与云研究室（德国柏林））
Hierarchical Decision-Making for Autonomous Navigation: Integrating Deep Reinforcement Learning and Fuzzy Logic in Four-Wheel Independent Steering and Driving Systems
School of Automation, Central South University（自动化学院，中南大学）
Reinforcement Learning for Follow-the-Leader Robotic Endoscopic Navigation via Synthetic Data
School of Computer Science and Engineering, The University of New South Wales（计算机科学与工程学院，新南威尔士大学）；School of Mechanical and Manufacturing Engineering, The University of New South Wales（机械与制造工程学院，新南威尔士大学）
A Deployable Embodied Vision-Language Navigation System with Hierarchical Cognition and Context-Aware Exploration
Center for Advanced Robotics Technology Innovation (CARTIN), School of Electrical and Electronic Engineering, Nanyang Technological University（先进机器人技术与创新中心（CARTIN）、电子工程学院、南洋理工大学）；Spatial AI & Robotics Lab, Department of Computer Science and Engineering（空间人工智能与机器人实验室、计算机科学与工程系）
DualVision ArthroNav: Investigating Opportunities to Enhance Localization and Reconstruction in Image-based Arthroscopy Navigation via External Cameras
University of Arkansas（阿肯色大学）；Arthrex Inc.（阿瑟克斯公司）
BANSAI: Towards Bridging the AI Adoption Gap in Industrial Robotics with Neurosymbolic Programming
ArtiMinds Robotics（阿蒂敏兹机器人公司）；Institute for Artificial Intelligence, University of Bremen（不来梅大学人工智能研究所）；wbk Institute of Production Science, Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院生产科学wbk研究所）
AirAnchor: Bridging Local and Global Spatial Information for Zero-Shot Aerial Vision-and-Language Navigation
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）；School of Artificial Intelligence, Shandong University（山东大学人工智能学院）
AirHunt: Bridging VLM Semantics and Continuous Planning for Efficient Aerial Object Navigation
Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院）；Department of Mechanical and Energy Engineering, Southern University of Science and Technology（南方科技大学机械与能源工程系）；Department of Computer Science and Engineering, Southern University of Science and Technology（南方科技大学计算机科学与工程系）；Department of Physics, Southern University of Science and Technology（南方科技大学物理系）
IndustryNav: Evaluating Spatial Reasoning and Safety of Embodied Agents in Dynamic Industrial Navigation
Michigan State University（密歇根州立大学）；Independent Researcher（独立研究者）；University of California, Irvine（加州大学尔湾分校）；Ohio State University（俄亥俄州立大学）；University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校）；University of California, Santa Barbara（加州大学圣巴巴拉分校）；University of Pittsburgh（匹兹堡大学）；University of Virginia（弗吉尼亚大学）；Arizona State University（亚利桑那州立大学）；Purdue University Northwest（普渡大学西北分校）
Embodied Agents Take Control: Minimal-Interface Zero-Shot Agents Rival Industrial-Scale Policies in Vision-and-Language Navigation
Australian Institute for Machine Learning（澳大利亚机器学习研究所）；Adelaide University（阿德莱德大学）；Responsible AI Research Centre（负责任人工智能研究中心）；CSIRO Data61（联邦科学与工业研究组织数据61中心）；The University of Queensland（昆士兰大学）
Graduate School of Info. Sci. \& Eng. Ritsumeikan University, Osaka, Japan；College of Info. Sci. \& Eng. Ritsumeikan University, Osaka, Japan；Faculty of Sci.；Eng. Soka University, Tokyo, Japan；Research Organization of Sci. \& Tech. Ritsumeikan University, Shiga, Japan；Graduate School of Informatics Kyoto University, Kyoto, Japan
