RoboClaw: An Agentic Framework for Scalable Long-Horizon Robotic Tasks
AgiBot；National University of Singapore（新加坡国立大学）；Shanghai Jiao Tong University（上海交通大学）；MoE Key Lab of Artificial Intelligence, AI Institute, SJTU（上海交通大学人工智能研究院教育部人工智能重点实验室）
Vision-Language-Action (VLA) systems have shown strong potential for language-driven robotic manipulation. However, scaling them to long-horizon tasks remains challenging. Existing pipelines typically separate data collection, policy learning, and deployment, resulting in heavy reliance on manual environment resets and brittle multi-policy execution. We present RoboClaw, an agentic robotics framework that unifies data collection, policy learning, and task execution under a single VLM-driven controller. At the policy level, RoboClaw introduces Entangled Action Pairs (EAP), which couple forward manipulation behaviors with inverse recovery actions to form self-resetting loops for autonomous data collection. This mechanism enables continuous on-policy data acquisition and iterative policy refinement with minimal human intervention. During deployment, the same agent performs high-level reasoning and dynamically orchestrates learned policy primitives to accomplish long-horizon tasks. By maintaining consistent contextual semantics across collection and execution, RoboClaw reduces mismatch between the two phases and improves multi-policy robustness. Experiments in real-world manipulation tasks demonstrate improved stability and scalability compared to conventional open-loop pipelines, while significantly reducing human effort throughout the robot lifecycle, achieving a 25% improvement in success rate over baseline methods on long-horizon tasks and reducing human time investment by 53.7%.
DiagGen: Agentic Generation of Deformable Assets with Sim-based Diagnostics for Robotic Simulation
University of British Columbia（不列颠哥伦比亚大学）；National University of Singapore（新加坡国立大学）；University of Cambridge（剑桥大学）；University of Wisconsin–Madison（威斯康星大学麦迪逊分校）
AtomBridge: Agentic VLA Inference Plugin for Long-Horizon Tasks in Scientific Experiments
School of Computer Science and Engineering & School of Software Engineering & School of Artificial Intelligence, Southeast University, Nanjing, China（计算机科学与工程学院、软件工程学院、人工智能学院，东南大学，南京，中国）；Pattern Learning and Mining Lab, Southeast University, Nanjing, China（模式学习与挖掘实验室，东南大学，南京，中国）
Towards Agentic Robots: Model, Data, Environment, and Harness
MMLab, The Chinese University of Hong Kong（香港中文大学MMLab）；Fudan University（复旦大学）；NovaXBot；Tsinghua University（清华大学）；Zhejiang University（浙江大学）；Sun Yat-sen University（中山大学）
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）
RoboGene: Boosting VLA Pre-training via Diversity-Driven Agentic Framework for Real-World Task Generation
Beijing Innovation Center of Humanoid Robotics（北京人形机器人创新中心）；The School of Advanced Manufacturing and Robotics, Peking University（北京大学先进制造与机器人学院）；Beijing Institute of Technology（北京理工大学）；The School of Mechanical Engineering and Automation, Beihang University（北航机械工程与自动化学院）；State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（北京大学多媒体信息处理国家重点实验室）
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）
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
VLA^2: Empowering Vision-Language-Action Models with an Agentic Framework for Unseen Concept Manipulation
Zhejiang University（浙江大学）；MiLAB, Westlake University（西湖大学 MiLAB）；Southern University of Science and Technology（南方科技大学）；Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））
Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents
Jilin University（吉林大学）；Harvard University（哈佛大学）；Massachusetts Institute of Technology（麻省理工学院）；Huazhong University of Science and Technology（华中科技大学）；Southern University of Science and Technology（南方科技大学）；Lehigh University（莱斯大学）；Shanghai Jiao Tong University（上海交通大学）
本文提出脑启发框架 Agentic Robot，利用 SAP 协调推理、VLA 执行与时序验证形成闭环，在 LIBERO 长程操控任务上达到 79.6% 的最先进成功率。
ProAgent: From Robotic Process Automation to Agentic Process Automation
Tsinghua University（清华大学）；Massachusetts Institute of Technology（麻省理工学院）；Carnegie Mellon University（卡内基梅隆大学）；ModelBest Inc.（ModelBest公司）；Renmin University of China（中国人民大学）
Learning Robust Execution in Robotic Manipulation with Agentic Reinforcement Learning
School of Inteligence Science and Engineering, the Harbin Institute of Technology Shenzhen（哈尔滨工业大学（深圳）智能科学与工程学院）；Faculty of Robot Science and Engineering, Northeastern University（东北大学机器人科学与工程学院）
Johns Hopkins University（约翰霍普金斯大学）；Italian Institute of Technology（意大利理工学院）；University of Toronto（多伦多大学）；Massachusetts General Hospital, Harvard University（哈佛大学麻省总医院）
UniManip: General-Purpose Zero-Shot Robotic Manipulation with Agentic Operational Graph
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore（南洋理工大学电子与电气工程学院）；Department of Automation, Tsinghua University, China（清华大学自动化系）
3D Generation for Embodied AI and Robotic Simulation: A Survey
Hong Kong University of Science and Technology（香港科技大学）；Wuhan University（武汉大学）；Harbin Institute of Technology（哈尔滨工业大学）；Xinjiang University（新疆大学）；Tencent（腾讯）
RACAS: Controlling Diverse Robots With a Single Agentic System
Center of Excellence in Generative AI, King Abdullah University of Science and Technology (KAUST), Saudi Arabia（沙特王国科学与技术大学生成人工智能卓越中心）；Dalle Molle Institute for Artificial Intelligence Research (IDSIA), Switzerland（人工智能研究达勒莫利 institute）；Università della Svizzera italiana (USI), Switzerland（瑞士意大利大学）；Scuola universitaria professionale della Svizzera italiana (SUPSI), Switzerland（瑞士意大利专业大学）；Robotics, Intelligent Systems, and Control Lab, King Abdullah University of Science and Technology (KAUST), Saudi Arabia（机器人、智能系统与控制实验室，沙特王国科学与技术大学（KAUST））；Department of Process Control, AGH University of Krakow, Poland（波兰克拉科夫AGH大学过程控制系）
Test-Driven Agentic Framework for Reliable Robot Controller
Department of Electrical and Computer Engineering（电气与计算机工程系）；University of California, Riverside（加州大学河滨分校）；Department of Mathematics（数学系）；Department of Computer Science（计算机科学系）；University of Colorado, Boulder（科罗拉多大学波德分校）
A Comprehensive Review of Generative Physical Artificial Intelligence
Qualcomm Research（高通研究院）；University of the Cumberlands（坎伯兰大学）；BITS-Pilani（皮拉尼比尔拉理工学院）；National University of Singapore（新加坡国立大学）；Nanyang Technological University（南洋理工大学）
