VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model
University of Science and Technology of China（中国科学技术大学）；Zhongguancun Academy, Beijing, China（中关村学院）；Shanghai Jiao Tong University（上海交通大学）；Tsinghua University（清华大学）；Eastern Institute of Technology, Ningbo（宁波东部科技研究院）；University of Chinese Academy of Sciences（中国科学院大学）；Nankai University（南开大学）
Pretraining Vision-Language-Action (VLA) policies on internet-scale video is appealing, yet current latent-action objectives often learn the wrong thing: they remain anchored to pixel variation rather than action-relevant state transitions, making them vulnerable to appearance bias, nuisance motion, and information leakage. We introduce VLA-JEPA, a JEPA-style pretraining framework that sidesteps these pitfalls by design. The key idea is leakage-free state prediction: a target encoder produces latent representations from future frames, while the student pathway sees only the current observation -- future information is used solely as supervision targets, never as input. By predicting in latent space rather than pixel space, VLA-JEPA learns dynamics abstractions that are robust to camera motion and irrelevant background changes. This yields a simple two-stage recipe -- JEPA pretraining followed by action-head fine-tuning -- without the multi-stage complexity of prior latent-action pipelines. Experiments on LIBERO, LIBERO-Plus, SimplerEnv and real-world manipulation tasks show that VLA-JEPA achieves consistent gains in generalization and robustness over existing methods.
Juno: Taming Predictive Latents for Vision-Language-Action Models
University of Science and Technology of China（中国科学技术大学）；Eastern Institute of Technology, Ningbo（宁波东方理工大学）；Hangzhou Dianzi University（杭州电子科技大学）；ShanghaiTech University（上海科技大学）
Any3D-VLA: Enhancing VLA Robustness via Diverse Point Clouds
School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China（计算与数据科学学院，香港大学，香港特别行政区，中国）；School of Computing（计算学院）；Peking University, Beijing, China（北京大学，北京，中国）
VR-JEPA: Learning Contrastive-State Latent Guidance for Generation-based Video Reasoning
Shenzhen Campus of Sun Yat-sen University（中山大学深圳校区）；Shenzhen Loop Area Institute（深圳河套学院）；Tsinghua Shenzhen International Graduate School（清华大学深圳国际研究生院）；Tencent（腾讯）；Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）；UiT The Arctic University of Norway（挪威北极大学）
The Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data Collection
Lion Rock AI Lab, China Merchants Research Institute of Advanced Technology（狮岩人工智能实验室，中国商人先进科技研究院）；The Hong Kong University of Science and Technology（香港科学与技术大学）；Nankai University（南开大学）
E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete Diffusion
Sun Yat-sen University（中山大学）；Guangdong Key Laboratory of Big Data Analysis（广东大数据分析与处理重点实验室）；X-Era AI Lab（X-Era人工智能实验室）；Guangdong University of Technology（广东工业大学）
ForceU-VLA: A Force-Aware Vision-Language-Action Model for Embodied Ultrasound Scanning
Faculty of Computer Science and Technology, Ocean University of China（中国海洋大学计算机科学与技术学院）；School of Information Science and Engineering, Shandong University（山东大学信息科学与工程学院）；Innovation School of Artificial Intelligence, Hefei University of Technology（合肥工业大学人工智能创新学院）
StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision
Galbot；CFCS, School of CS, Peking University（北京大学计算机学院CFCS）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；The University of Hong Kong（香港大学）；Xiamen University Malaysia（厦门大学马来西亚分校）；Southern University of Science and Technology（南方科技大学）
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers
Institute for Interdisciplinary Information Sciences, Tsinghua University（清华大学交叉信息研究院）；University of California, Berkeley（加利福尼亚大学伯克利分校）；Shanghai Qizhi Institute（上海智知研究院）
Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time Performance
The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；ShanghaiTech University（上海科技大学）；Shanghai Institute of Technical Physics, CAS（中国科学院上海技术物理研究所）；AIR, Tsinghua University（清华大学智能产业研究院）；Westlake University（西湖大学）；Zhejiang University（浙江大学）
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）
Token Expand-Merge: Training-Free Token Compression for Vision-Language-Action Models
College of Science and Engineering, Hamad Bin Khalifa University（1 科学与工程学院，哈马德·本·卡西姆大学）；Mohamed bin Zayed University of Artificial Intelligence（2 摩萨·本·扎耶德人工智能大学）；College of Computer Science and Technology, Zhejiang University（3 计算机科学与技术学院，浙江大学）
Recent vision-language-action (VLA) models built on pretrained vision-language models (VLMs) have demonstrated strong performance in robotic manipulation. However, these models remain constrained by the single-frame image paradigm and fail to fully leverage the temporal information offered by multi-frame histories, as directly feeding multiple frames into VLM backbones incurs substantial computational overhead and inference latency. We propose CronusVLA, a unified framework that extends single-frame VLA models to the multi-frame paradigm. CronusVLA follows a two-stage process: (1) Single-frame…
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）
Self-Improving VLA Policies: Selected Diffusion Noise for Spurious-Robust Action Smoothing
Center for AI Research, VinUniversity（VinUniversity人工智能研究中心）；VinRobotics；KAIST（韩国科学技术院）；University of Stuttgart（斯图加特大学）；IMPRS-IS（国际马克斯·普朗克智能系统研究学院）；National University of Singapore（新加坡国立大学）；DFKI（德国人工智能研究中心）；University of Oldenburg（奥尔登堡大学）；Monash University（莫纳什大学）；University of Arkansas（阿肯色大学）；TU Darmstadt（达姆施塔特工业大学）
Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision
School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）；New Laboratory of Pattern Recognition (NLPR), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所模式识别国家重点实验室（NLPR）多模态人工智能系统国家重点实验室（MAIS））；FiveAges
Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences（多模态人工智能系统国家重点实验室，自动化研究所，中国科学院）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）；The Grainger College of Engineering, University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校格拉inger工程学院）；CAS Center for Excellence in Brain Science and Intelligence Technology（中国科学院脑科学与智能技术卓越创新中心）；Joint Laboratory of Intelligence Science and Technology, Institute of Systems Engineering, Macau University of Science and Technology（澳门科技大学系统工程学院智能科学与技术联合实验室）
