Vision-Language-Action Models

Also known as VLA

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Latest papers 1,140

249 papers in the last four weeks, up 144% on the four weeks before. 1.5% of all new papers.

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AnySlot: Goal-Conditioned Vision-Language-Action Policies for Zero-Shot Slot-Level Placement
Apr 12, 2026Zhaofeng Hu, Sifan Zhou, Qinbo Zhang +4Robotic Manipulation Zero-Shot Robotic Manipulation
Stony Brook University, Stony Brook, USA · Carnegie Mellon University, Pittsburgh, USA · MBZUAI, Abu Dhabi, UAE +1
STRONG-VLA: Decoupled Robustness Learning for Vision-Language-Action Models under Multimodal Perturbations
Apr 11, 2026Yuhan Xie, Yuping Yan, Yunqi Zhao +2Robustness of VLA Models Multimodal Robustness
Zhejiang University Hangzhou, China · Westlake University Hangzhou, China · Xidian University Xi’an, China
ProGAL-VLA: Grounded Alignment through Prospective Reasoning in Vision-Language-Action Models
Apr 10, 2026Nastaran Darabi, Amit Ranjan TrivediVision-Language-Action Models Vision-Language Grounding
University of Illinois Chicago, IL, USA
2D or 3D: Who Governs Salience in VLA Models? -- Tri-Stage Token Pruning Framework with Modality Salience Awareness
Apr 10, 2026Zihao Zheng, Sicheng Tian, Zhihao Mao +8Efficient VLA Model Inference Vision-Language-Action Models
School of Computer Science, Peking University · School of Artificial Intelligence, Beijing Normal University · School of Computer Science, China University of Geosciences (Wuhan) +2
Learning Vision-Language-Action World Models for Autonomous Driving
Apr 10, 2026Guoqing Wang, Pin Tang, Xiangxuan Ren +3World Models for Autonomous Driving Vision-Language-Action Models
MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University · Central Research Institute, Huawei
V-CAGE: Vision-Closed-Loop Agentic Generation Engine for Robotic Manipulation
Apr 10, 2026Yaru Liu, Ao-bo Wang, Nanyang YeSynthetic Data Generation for Robotics Robotic Manipulation
University of Cambridge · Wuhan University · Shanghai Jiao Tong University
A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model
Apr 7, 2026Kaidong Zhang, Jian Zhang, Rongtao Xu +20Vision-Language-Action Models Efficient VLA Model Inference
SYSU · Spatialtemporal AI · MBZUAI
SnapFlow: One-Step Action Generation for Flow-Matching VLAs via Progressive Self-Distillation
Apr 7, 2026Wuyang Luan, Junhui Li, Weiguang Zhao +2Efficient VLA Model Inference Vision-Language-Action Models
Jilin University · Chongqing University · University of Liverpool +1
Grounding Hierarchical Vision-Language-Action Models Through Explicit Language-Action Alignment
Apr 7, 2026Theodor Wulff, Federico Tavella, Rahul Singh Maharjan +2Vision-Language-Action Models Vision-Language Alignment
The University of Manchester, Manchester, United Kingdom
VLA-InfoEntropy: A Training-Free Vision-Attention Information Entropy Approach for Vision-Language-Action Models Inference Acceleration and Success
Apr 7, 2026Chuhang Liu, Yayun He, Zuheng Kang +2Efficient VLA Model Inference Vision-Language-Action Models
Ping An Technology (Shenzhen) Co., Ltd., Shenzhen, China · Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
Apr 6, 2026StarVLA CommunityVision-Language-Action Models Multimodal Learning
Von Neumann Institute, HKUST
E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes
Apr 6, 2026Jiajun Zhai, Hao Shi, Shangwei Guo +2Event-Based Vision VLM Robustness
Zhejiang University · Ant Group · Hunan University
Veo-Act: Enhancing VLA Policies with Frontier Video Models
Apr 6, 2026Zhongru Zhang, Chenghan Yang, Qingzhou Lu +4Robotic Control Language-Conditioned Robot Manipulation
Tsinghua University
Adaptive Action Chunking at Inference-time for Vision-Language-Action Models
Apr 5, 2026Yuanchang Liang, Xiaobo Wang, Kai Wang +5Action Chunking Vision-Language-Action Models
National University of Singapore · Shenzhen University of Advanced Technology · Sangfor Technologies Inc. +3
VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models
Apr 5, 2026Ravi Ranjan, Agoritsa PolyzouVLM Unlearning Vision-Language-Action Models
Florida International University Miami, USA
The Compression Gap: Why Discrete Tokenization Limits Vision-Language-Action Model Scaling
Apr 3, 2026Takuya ShibaVision-Language-Action Models Information Bottleneck
Shibattic Inc.
Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA
Apr 3, 2026Zihua Wang, Zhitao Lin, Ruibo Li +4Vision-Language-Action Models Efficient VLA Model Inference
School of Computer Science and Engineering, Southeast University, Nanjing, China · Nanyang Technological University, Singapore · School of Cyber Science and Engineering, Southeast University, Nanjing, China +1
ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving
Apr 3, 2026Zihao Sheng, Xin Ye, Jingru Luo +2World Model Learning VLMs for Autonomous Driving
Bosch Research North America & Bosch Center for Artificial Intelligence (BCAI) · University of Wisconsin–Madison
UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models
Apr 2, 2026Qiyao Zhang, Shuhua Zheng, Jianli Sun +6Visual Object Tracking Vision-Language-Action Models
Beijing Institute of Technology, Beijing, China · Flying Intelligence Team (Virtual Research Community) · Institute of Automation, Chinese Academy of Sciences, Beijing, China +4
UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
Apr 2, 2026Yongkang Li, Lijun Zhou, Sixu Yan +11Vision-Language-Action Models End-to-End Autonomous Driving
Huazhong University of Science and Technology · Xiaomi EV · SKL-IOTSC, University of Macau
DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning
Apr 2, 2026Yang Zhou, Xiaofeng Wang, Hao Shao +8World Action Models World Models for Autonomous Driving
GigaAI · University of Toronto · CUHK MMLab
Causal Scene Narration with Runtime Safety Supervision for Vision-Language-Action Driving
Apr 2, 2026Yun Li, Yidu Zhang, Simon Thompson +2Vision-Language-Action Models End-to-End Autonomous Driving
Graduate School of Information Science and Technology, The University of Tokyo · TIER IV, Inc.
Boosting Vision-Language-Action Finetuning with Feasible Action Neighborhood Prior
Apr 2, 2026Haochen Niu, Kanyu Zhang, Shuyu Yin +3Vision-Language-Action Models Data-Efficient Robot Learning
Shanghai Jiao Tong University, China · Huawei Technologies, China
DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
Mar 31, 2026Yi Chen, Yuying Ge, Hui Zhou +3Vision-Language-Action Models Robotic Manipulation
The University of Hong Kong · XPENG Robotics · University of North Carolina at Chapel Hill
FocusVLA: Focused Visual Utilization for Vision-Language-Action Models
Mar 30, 2026Yichi Zhang, Weihao Yuan, Yizhuo Zhang +2Vision-Language-Action Models Robotic Manipulation
Harbin Institute of Technology, Shenzhen, China · DaiMon Robotics, China · Nanjing University, Nanjing, China +1
StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observation
Mar 30, 2026Yiran Shi, Dongqi Guo, Tianchen Zhao +8Vision-Language-Action Models Efficient VLA Model Inference
Tsinghua University · Lenovo Group Ltd.
LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models
Mar 30, 2026Chanyoung Kim, Minwoo Kim, Minseok Kang +2Vision-Language Grounding Vision-Language-Action Models
School of Computer Science and Engineering, Soongsil University, Seoul, Korea · Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea
FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models
Mar 30, 2026Xinyuan An, Tao Luo, Gengyun Peng +3Vision-Language-Action Models Flow Matching
Zhejiang University · Huzhou Institute of Industrial Control Technology · Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications
ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation
Mar 29, 2026Hongyu Yan, Qiwei Li, Jiaolong Yang +1Robotic Manipulation Vision-Language-Action Models
Peking University · Microsoft Research Asia (MSRA)
VLA-OPD: Bridging Offline SFT and Online RL for Vision-Language-Action Models via On-Policy Distillation
Mar 27, 2026Zhide Zhong, Haodong Yan, Junfeng Li +3Vision-Language-Action Models On-Policy Distillation
HKUST (GZ)

Apr 12, 2026J/K move · Enter open · S save

AnySlot: Goal-Conditioned Vision-Language-Action Policies for Zero-Shot Slot-Level Placement

Zhaofeng Hu, Sifan Zhou, Qinbo Zhang, Rongtao Xu+3

Stony Brook University, Stony Brook, USA · Carnegie Mellon University, Pittsburgh, USA · MBZUAI, Abu Dhabi, UAE+1

Robotic Manipulation Zero-Shot Robotic Manipulation Language-Conditioned Robot Manipulation Vision-Language-Action Models Robot Manipulation Benchmarks

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Vision-Language-Action (VLA) policies have emerged as a versatile paradigm for generalist robotic manipulation. However, precise object placement under compositional language remains challenging for end-to-end VLA policies. Slot-level placement requires reliable slot grounding and centimeter-level geometric precision. To this end, we propose AnySlot, a framework that reduces compositional complexity by introducing an explicit spatial visual goal between language grounding and control. AnySlot converts language into a visual goal by rendering a spatial marker at the intended slot, then executes this goal with a goal-conditioned VLA policy. This hierarchical design decouples high-level slot selection from low-level execution, improving semantic accuracy and spatial robustness. Furthermore, recognizing the lack of benchmarks for such precision-demanding tasks, we introduce SlotBench, a structured simulation benchmark with nine task categories for evaluating spatial reasoning in slot-level placement. Extensive experiments show that AnySlot significantly outperforms flat VLA baselines and modular grounding methods in zero-shot slot-level placement.