Artificial intelligence has demonstrated remarkable capability in predicting scientific properties, yet scientific discovery remains an inherently physical, long-horizon pursuit governed by experimental cycles. Most current computational approaches are misaligned with this reality, framing discovery as isolated, task-specific predictions rather than continuous interaction with the physical world. Here, we argue for embodied science, a paradigm that reframes scientific discovery as a closed loop tightly coupling agentic reasoning with physical execution. We propose a unified Perception-Language-Action-Discovery (PLAD) framework, wherein embodied agents perceive experimental environments, reason over scientific knowledge, execute physical interventions, and internalize outcomes to drive subsequent exploration. By grounding computational reasoning in robust physical feedback, this approach bridges the gap between digital prediction and empirical validation, offering a roadmap for autonomous discovery systems in the life and chemical sciences.
SciHorizon-eLab: An Agentic Protocol-to-Task Compiler for Scalable Benchmarking of Scientific Embodied Agents
Data Intelligence for Scientific Innovation Lab, Computer Network Information Center, Chinese Academy of Sciences（中国科学院计算机网络信息中心科学智能创新数据实验室）；Beihang University（北京航空航天大学）
Agentic AI-Empowered Conversational Embodied Intelligence Networks in 6G
Key Laboratory of Broadband Wireless Communication and Sensor Network Technology（宽带无线通信与传感网络技术重点实验室）；Nanjing University of Posts and Telecommunications（南京邮电大学）；College of Technological Innovation（技术创新学院）
ROSBag MCP Server: Analyzing Robot Data with LLMs for Agentic Embodied AI Applications
Institute of Computer Science, Zurich University of Applied Sciences（苏黎世应用科学大学计算机科学研究所）；Department of Computing, University of Turku（图尔库大学计算系）；Centre for Artificial Intelligence, Zurich University of Applied Sciences（苏黎世应用科学大学人工智能中心）
ConEQsA: Concurrent and Asynchronous Embodied Questions Scheduling and Answering
Software Engineering Institute, East China Normal University（东华大学软件工程学院）；Department of Computer Science, Yale University（耶鲁大学计算机科学系）；School of Computer Science, The University of Sydney（悉尼大学计算机科学学院）；College of Connected Computing, Vanderbilt University（范德比大学连接计算学院）
Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction
QiYuan Lab（启元实验室）；University of Electronic Science and Technology of China（电子科技大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；Northeastern University（东北大学）；Beihang University（北京航空航天大学）；Tsinghua University（清华大学）
Intelligent Automation for Embodied Benchmark Construction: Pipelines, Embodiments, Simulators, and Trends
University of Electronic Science and Technology of China（电子科技大学）；Qiyuan Lab（启元实验室）；Beijing University of Posts and Telecommunications（北京邮电大学）；Tsinghua University（清华大学）；Beihang University（北京航空航天大学）
Agent AI: Surveying the Horizons of Multimodal Interaction
Microsoft Gaming（微软游戏）；University of California, Los Angeles（加州大学洛杉矶分校）；University of Washington（华盛顿大学）；Microsoft Research, Redmond（微软研究院（雷德蒙德））；Stanford University（斯坦福大学）
Qumus: Realization of An Embodied AI Quantum Material Experimentalist
Princeton University（普林斯顿大学）；University of Michigan（密歇根大学）；California State University, Northridge（加州州立大学北岭分校）；National Institute for Materials Science（国立材料科学研究所）
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses
Fudan University（复旦大学）；Shanghai Innovation Institute（上海创新研究院）；City University of Hong Kong（香港城市大学）；Jilin University（吉林大学）；Singapore Management University（新加坡管理大学）；Deakin University（德肯大学）；Tongji University（同济大学）；Nanyang Technological University（南洋理工大学）；Chinese Academy of Sciences（中国科学院）；The University of Melbourne（墨尔本大学）；Johns Hopkins University（约翰霍普金斯大学）
AirVista-II: An Agentic System for Embodied UAVs Toward Dynamic Scene Semantic Understanding
Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology（创新工程学院工程科学系，澳门科学技术大学）；State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences（复杂系统管理与控制国家重点实验室，中国科学院自动化研究所）；State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences（复杂系统管理与控制国家重点实验室，中国科学院）
Agentic AI for Embodied-enhanced Beam Prediction in Low-Altitude Economy Networks
School of Electronic Science and Engineering, South China Normal University（南方科技大学电子科学与工程学院）；School of Intelligent Engineering, Shaoguan university（韶关大学智能工程学院）；School of Automation, Guangdong University of Technology（广东工业大学自动化学院）
RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Interactive Environmental Learning in Physical Embodied Systems
FNii-Shenzhen（FNii-深圳）；SSE, CUHK-Shenzhen（SSE，CUHK-深圳）；The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））；The University of Hong Kong（香港大学）；National University of Singapore（新加坡国立大学）；The Chinese University of Hong Kong（香港中文大学）；Ising AI
Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
Department of Computing, University of Turku（图尔库大学计算机系）；Institute of Computer Science, Zurich University of Applied Sciences（应用科学大学计算机科学研究所）；Centre for Artificial Ingelligence, Zurich University of Applied Sciences（应用科学大学人工智能中心）；Agentic Systems Lab, Department of Management, Technology and Economics, ETH Zürich（苏黎世联邦理工学院管理、科技与经济系代理系统实验室）；Faculty of Mathematics and Information Science, Warsaw University of Technology（华沙技术大学数学与信息科学学院）
BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks
School of Electrical Engineering and Computer Science, TU Berlin（技术大学柏林电气工程与计算机科学学院）；Optical Zeitgeist Laboratory, INRS（光感知实验室，INRS）；Federal Ministry of Research, Technology and Space (BMFTR, Germany)（德国联邦研究、科技与航天部）
AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
Department of Computer and Network Engineering, College of Information Technology, United Arab Emirates University（计算机与网络工程系，信息科技学院，阿联酋大学）；Khalifa University of Science and Technology（科技大学）
PhysAI-Bench: A Benchmark for LLM-Based Agentic Decision-Making in Autonomous UAV-Centric Physical AI
United Arab Emirates University（阿联酋大学）；Khalifa University（哈利法大学）；Interuniversity Microelectronics Centre (IMEC)（校际微电子中心）；Technology Innovation Institute（技术创新研究所）
Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents
University College of Engineering, Anna University（安娜大学工程学院）；National Institute of Technology Tiruchirappalli（Tiruchirappalli 国家理工学院）；School of Computing and Information Systems University of Melbourne（墨尔本大学计算机与信息系统学院）
PreAct-Nav: Agentic Reasoning Before Action for Urban Navigation
Shanghai Jiao Tong University（上海交通大学）；Beihang University（北京航空航天大学）；The Hong Kong University of Science and Technology（香港科技大学）；Tsinghua University（清华大学）；University of Cambridge（剑桥大学）；Intelligent Game and Decision Lab (IGDL)（智能博弈与决策实验室）
Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective
School of EEE, Nanyang Technological University（南洋理工大学电子工程系）；Department of Civil Engineering, Tsinghua University（清华大学土木工程系）；Dr. B. R. Ambedkar National Institute of Technology, Jalandhar（B.R.阿姆贝卡尔国家理工学院，贾兰德赫）；KTH Royal Institute of Technology（皇家理工学院）；College of AI, Tsinghua University（清华大学人工智能学院）；CCDS, Nanyang Technological University（南洋理工大学CCDS）
Multi-Dimensional Behavioral Evaluation of Agentic Stock Prediction Systems Using Large Language Model Judges with Closed-Loop Reinforcement Learning Feedback
School of Electrical Engineering and Computer Science（电气工程与计算机科学学院）
