Vision-Language-Action (VLA) models generalize across static manipulation but fail when objects move during task execution. They map the current observation to an action and assume the scene is stationary between observation and execution, so at any non-trivial object speed the resulting latency exceeds the time available to grasp. We close this gap with AHEAD (Anticipatory Horizon Extrapolation with Adaptive Dynamics), a predict-then-act wrapper that augments a frozen VLA with a motion-aware latent world model. A small world model trained on manipulation video forecasts future patch tokens in the VLA's feature space, conditioned on per-token velocity and acceleration from optical flow. A language-and-motion saliency mask concentrates prediction on task-relevant patches, and the model rolls forward for an adaptive horizon, halting when prediction uncertainty crosses a threshold. The frozen action decoder then receives the predicted future tokens in place of the current ones. AHEAD adds 4.9M parameters to a frozen 7B OpenVLA and reaches 79 to 97% success across 20 dynamic simulation scenarios where the strongest baseline reaches 31 to 58%. On a physical UFactory xArm 7, AHEAD succeeds on 29/30 to 30/30 on three conveyor and rolling-ball tasks, 23/30 on paddle interception, and 19/30 on projectile catching where every baseline scores 0/30.
VLA Model-Expert Collaboration for Bi-directional Manipulation Learning
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）
DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation
Advanced Research Lab, Samsung R&D Institute China-Beijing (SRCB)（三星研发中心中国北京先进研究实验室）；Samsung AI Center, DS Division（三星人工智能中心，DS部门）；Hanyang University ERICA（翰洋大学ERICA）
AIR-VLA: Vision-Language-Action Systems for Aerial Manipulation
The Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；School of Automation, Beijing Institute of Technology（北京理工大学自动化学院）；School of Information and Intelligent Engineering, University of Sanya（三亚大学信息与智能工程学院）；School of Mechanical and Vehicle Engineering, Hunan University（湖南大学机械与车辆工程学院）；State Key Lab of Intelligent Transportation Systems, School of Transportation Science and Engineering, Beihang University（北京航空航天大学交通科学与工程学院）
The Price Is Not Right: Neuro-Symbolic Methods Outperform VLAs on Structured Long-Horizon Manipulation Tasks with Significantly Lower Energy Consumption
Human-Robot Interaction Lab, Tufts University（Tufts大学人机交互实验室）；AIT Austrian Institute of Technology GmbH（奥地利技术研究所）
Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation
Westlake University（西湖大学）；Zhejiang University（浙江大学）；Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing（北京未来区块链与隐私计算高精尖创新中心）；University of Electronic Science and Technology of China（电子科技大学）
Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents
Tsinghua University（清华大学）；Striding AI（驰行人工智能公司）；Purdue University（普渡大学）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；Infinigence AI（英飞智研人工智能公司）；Zhongguancun Academy（中关村学院）；Hong Kong University of Science and Technology（香港科技大学）
TORL-VLA: Tactile Guided Online Reinforcement Learning for Contact-Rich Manipulation
Meituan（美团）；Beijing Institute of Technology（北京理工大学）；Beihang University（北京航空航天大学）；State Key Lab of Multimodal Artificial Intelligence Systems, Institute of Automation, CAS（中国科学院自动化研究所多模态人工智能系统国家重点实验室）；China University of Mining and Technology (Beijing)（中国矿业大学（北京））
DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation
Institute for Artificial Intelligence（人工智能研究院）；School of Integrated Circuits, Peking University（集成电路学院，北京大学）；Shenzhen Institute of Artificial Intelligence（深圳人工智能研究所）；School of Electronics Engineering and Computer Science, Peking University（电子工程与计算机科学学院，北京大学）；Beijing Advanced Innovation Center for Integrated Circuits（北京集成电路先进制造创新中心）
Critic in the Loop: A Tri-System VLA Framework for Robust Long-Horizon Manipulation
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；the School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）
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））
TaF-VLA: Tactile-Force Alignment in Vision-Language-Action Models for Force-aware Manipulation
Beihang University（北航大学）；ShanghaiTech University（上海科技大学）；Beijing Institute for General Artificial Intelligence（北京一般人工智能研究院）；The University of Hong Kong（香港大学）
CRAFT: Adapting VLA Models to Contact-rich Manipulation via Force-aware Curriculum Fine-tuning
National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University（机器人视觉感知与控制技术国家工程研究中心，湖南大学）；Beijing Innovation Center of Humanoid Robotics（人形机器人创新中心）；Department of Electrical and Computer Engineering, National University of Singapore（新加坡国立大学电气与计算机工程系）
From Local Whole-Body VLA Behaviors to Scene-Scale Aerial Manipulation
Nanyang Technological University（南洋理工大学）；Tongji University（同济大学）；Shanghai Institute of Intelligent Science and Technology（上海自主智能无人系统科学中心）；Beihang University（北京航空航天大学）；VinUniversity
AIR-VLA+: Decoupling Movement and Manipulation via Cascaded Dual-Action Decoders with Asymmetric MoE for Aerial Robots
The Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；School of Automation, Beijing Institute of Technology（北京理工大学自动化学院）；College of Automotive and Energy Engineering, Tongji University（同济大学汽车与能源工程学院）；School of Transportation Science and Engineering, Beihang University（北京航空航天大学交通科学与工程学院）；Information Science, East China Normal University（华东师范大学信息科学）
Audio-VLA: Adding Contact Audio Perception to Vision-Language-Action Model for Robotic Manipulation
School of Computer Science and Technology, East China Normal University（东华师范大学计算机科学与技术学院）；School of Data Science and Engineering, East China Normal University（东华师范大学数据科学与工程学院）；School of Software Engineering, East China Normal University（东华师范大学软件工程学院）；School of Computer Science, Fudan University（复旦大学计算机科学学院）
GloVLA: Let Geometry Move and Local VLA Interact for Robust Object-Centric Manipulation in Unstructured Environments
VinRobotics；Austrian Institute of Technology（奥地利理工学院）；Hanoi University of Science and Technology（河内理工大学）；Center for AI Research, VinUniversity（VinUniversity人工智能研究中心）；German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心（DFKI））；University of Stuttgart（斯图加特大学）；International Max Planck Research School for Intelligent Systems (IMPRS-IS)（国际马克斯·普朗克智能系统研究学院（IMPRS-IS））；University of Arkansas（阿肯色大学）
SkillVLA: Tackling Combinatorial Diversity in Dual-Arm Manipulation via Skill Reuse
National University of Singapore（国立新加坡大学）；Beijing Zhongguancun Academy（北京中关村学院）；Shanghai Innovation Institute（上海创新研究院）；Shanghai AI Laboratory（上海人工智能实验室）；Shanghai Jiao Tong University（上海交通大学）；Fudan University（复旦大学）；Smart Systems Institute, NUS（NUS智能系统研究所）
MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation
Nanyang Technological University（南洋理工大学）；VinUniversity（文大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；Tsinghua University（清华大学）；South China University of Technology（华南理工大学）
