Vision-Language-Action Models

Also known as VLA

Follow this topic Ask about this topic

Latest papers 1,128

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

All topics

PVI: Plug-in Visual Injection for Vision-Language-Action Models
Mar 13, 2026Zezhou Zhang, Songxin Zhang, Xiao Xiong +8Vision-Language-Action Models VLMs for Robotics
Lionrock AI Lab, China Merchants Group, Hong Kong, China
AnchorVLA4D: an Anchor-Based Spatial-Temporal Vision-Language-Action Model for Robotic Manipulation
Mar 13, 2026Juan Zhu, Zhanying Shao, Xiaoqi Li +4Vision-Language-Action Models Language-Conditioned Robot Manipulation
PrimeBot · School of Computer Science, Peking University
Altered Thoughts, Altered Actions: Reasoning Chain as Control Surface for a Vision-Language-Action Policy
Mar 13, 2026Tuan Duong Trinh, Basim Azam, Mohammed Ishaq Ansari +2Language-Conditioned Robot Manipulation Vision-Language-Action Models
University of Melbourne Parkville, VIC, Australia
TacVLA: Contact-Aware Tactile Fusion for Robust Vision-Language-Action Manipulation
Mar 13, 2026Kaidi Zhang, Heng Zhang, Zhengtong Xu +7Contact-Rich Robotic Manipulation Robotic Manipulation
Kaidi, Heng, Zhengtong, Zhiyuan, Prince, Xiang, Xiaojing, Yuhao, and Yu are with the Edwardson School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA · Human-Robot Interfaces and Interaction Lab, Istituto Italiano di Tecnologia, Genova, Italy. · Ph.D. program of national interest in Robotics and Intelligent Machines (DRIM) and Università di Genova, Genoa, Italy. +1
SaPaVe: Towards Active Perception and Manipulation in Vision-Language-Action Models for Robotics
Mar 12, 2026Mengzhen Liu, Enshen Zhou, Cheng Chi +6Active Vision for Robot Manipulation Robotic Manipulation
State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University · Beijing Academy of Artificial Intelligence · School of Software, Beihang University
DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
Mar 11, 2026Shuyao Shang, Bing Zhan, Yunfei Yan +9Autonomous Driving Vision-Language-Action Models
NLPR, Institute of Automation, Chinese Academy of Sciences (CASIA) · Yinwang Intelligent Technology Co. Ltd.
FutureVLA: Joint Visuomotor Prediction for Vision-Language-Action Model
Mar 11, 2026Xiaoxu Xu, Hao Li, Jinhui Ye +7Vision-Language-Action Models Visuomotor Policy Learning
Beihang University. · Shanghai Artificial Intelligence Laboratory. · University of Science and Technology of China. +1
DepthCache: Depth-Guided Training-Free Visual Token Merging for Vision-Language-Action Model Inference
Mar 11, 2026Yuquan Li, Lianjie Ma, Han Ding +1Efficient VLA Model Inference Visual Token Compression
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China. · School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
World2Act: Latent Action Post-Training from World Model Dynamics
Mar 11, 2026An Dinh Vuong, Tuan Van Vo, Abdullah Sohail +6Vision-Language-Action Models VLMs for Robotics
MBZUAI
Overcoming Visual Clutter in Vision Language Action Models via Concept-Gated Visual Distillation
Mar 11, 2026Sangmim Song, Sarath Kodagoda, Marc Carmichael +1Vision-Language-Action Models Robustness of VLA Models
University of Technology Sydney, NSW, Australia · Western Sydney University, NSW, Australia
SELF-VLA: A Skill Enhanced Agentic Vision-Language-Action Framework for Contact-Rich Disassembly
Mar 10, 2026Chang Liu, Sibo Tian, Xiao Liang +1Vision-Language-Action Models Contact-Rich Robotic Manipulation
J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA. · Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA.
Cross-Hand Latent Representation for Vision-Language-Action Models
Mar 10, 2026Guangqi Jiang, Yutong Liang, Jianglong Ye +6Robotic Manipulation Cross-Embodiment Robot Learning
UC San Diego · Amazon FAR · UC Berkeley
AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models
Mar 10, 2026Yutong Hu, Jan-Nico Zaech, Nikolay Nikolov +6Vision-Language-Action Models Autoregressive Generation
∗INSAIT, Sofia University “St. Kliment Ohridski” · †KU Leuven, Dept. Mechanical Engineering, Research unit Robotics, Automation and Mechatronics · ‡KU Leuven, Dept. Electrical Engineering, Research unit Processing Speech and Images
NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models
Mar 10, 2026Ziyue Zhu, Shangyang Wu, Shuai Zhao +8Vision-Language-Action Models Robotic Manipulation
Beijing University of Posts and Telecommunications · Nanyang Technological University
StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
Mar 10, 2026Yuan Gao, Dengyuan Hua, Mattia Piccinini +4Autonomous Driving Vision-Language-Action Models
Y. Gao, D. Hua, M. Piccinini, F. Schäfer, K. Moller, J. Betz are with the Professorship of Autonomous Vehicle Systems, TUM School of Engineering and Design, Technical University of Munich, 85748 Garching, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI) · L. Li is with the School of Mechanical and Aerospace Engineering, Nanyang Technological University
CORAL: Scalable Multi-Task Robot Learning via LoRA Experts
Mar 10, 2026Yuankai Luo, Woping Chen, Tong Liang +1Robot Learning Continual Robot Learning
Frontier Robotics
See, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic Manipulation
Mar 10, 2026Tingjun Dai, Mingfei Han, Tingwen Du +6Vision-Language-Action Models Language-Conditioned Robot Manipulation
School of Information Science and Technology, University of Science and Technology of China, Anhui, China. · University of Technology Sydney, Ultimo, NSW, Australia. · Department of Computer Vision, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates. +3
DexHiL: A Human-in-the-Loop Framework for Vision-Language-Action Model Post-Training in Dexterous Manipulation
Mar 10, 2026Yifan Han, Zhongxi Chen, Yuxuan Zhao +5Robotic Manipulation Robot Learning
CASIA · SJTU · Shanghai AI Laboratory
GST-VLA: Structured Gaussian Spatial Tokens for 3D Depth-Aware Vision-Language-Action Models
Mar 10, 2026Md Selim Sarowar, Omer Tariq, Sungho KimVision-Language-Action Models VLMs for Robotics
Yeungnam University · Korea Advanced Institute of Science and Technology, KAIST
OmniGuide: Universal Guidance Fields for Enhancing Generalist Robot Policies
Mar 9, 2026Yunzhou Song, Long Le, Yong-Hyun Park +7Robot Policy Learning Vision-Language-Action Models
University of Pennsylvania
AtomVLA: Scalable Post-Training for Robotic Manipulation via Predictive Latent World Models
Mar 9, 2026Xiaoquan Sun, Zetian Xu, Chen Cao +9Vision-Language-Action Models Robotic Manipulation
INFIFORCE Intelligent Technology Co., Ltd. Hangzhou, China · Huazhong University of Science and Technology, Wuhan, China · The University of Hong Kong, Hong Kong SAR, China +1
$Δ$ VLA: Prior-Guided Vision-Language-Action Models via World Knowledge Variation
Mar 9, 2026Yijie Zhu, Jie He, Rui Shao +4Vision-Language-Action Models VLMs for Robotics
Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China · Great Bay University, Dongguan 523000, China · Information Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, China +1
SaiVLA-0: Cerebrum--Pons--Cerebellum Tripartite Architecture for Compute-Aware Vision-Language-Action
Mar 9, 2026Xiang Shi, Wenlong Huang, Menglin Zou +1Vision-Language-Action Models Efficient VLA Models
Towards Human-Like Manipulation through RL-Augmented Teleoperation and Mixture-of-Dexterous-Experts VLA
Mar 9, 2026Tutian Tang, Xingyu Ji, Wanli Xing +7In-Hand Manipulation Contact-Rich Robotic Manipulation
Shanghai Jiao Tong University · Shanghai AI Lab · Sharpa +3
SAMoE-VLA: A Scene Adaptive Mixture-of-Experts Vision-Language-Action Model for Autonomous Driving
Mar 9, 2026Zihan You, Hongwei Liu, Chenxu Dang +4VLMs for Autonomous Driving Vision-Language-Action Models
Institute for AI Industry Research (AIR), Tsinghua University · School of Instrument Science and Engineering, Southeast University · Zhili College, Tsinghua University +3
DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models
Mar 9, 2026Zihao Zheng, Hangyu Cao, Chibang Tao +9VLM Quantization Efficient VLA Model Inference
School of Computer Science, Peking University, Beijing, China. · School of Software Engineering, South China University of Technology, Guangzhou, China. · School of Artificial Intelligence, Beijing Normal University, Beijing, China. +1
TempoFit: Plug-and-Play Layer-Wise Temporal KV Memory for Long-Horizon Vision-Language-Action Manipulation
Mar 8, 2026Jun Sun, Boyu Yang, Jiahao Zhang +7Memory-Augmented VLMs Vision-Language-Action Models
Xi’an Jiaotong-Liverpool University
Adaptive Capacity Allocation for Vision Language Action Fine-tuning
Mar 8, 2026Donghoon Kim, Minji Bae, Unghui Nam +4Parameter-Efficient Fine-Tuning Low-Rank Adaptation
Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea · Department of Computer Science and Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
History-Conditioned Spatio-Temporal Visual Token Pruning for Efficient Vision-Language Navigation
Mar 6, 2026Qitong Wang, Yijun Liang, Ming Li +2Efficient VLM Inference Token Pruning
The authors are with the Department of Computer and Information Sciences at the University of Delaware, Newark, DE 19711, USA. · The authors are with the University of Maryland’s Department of Computer Science, College Park, MD 20742, USA. · The author is with the Mohamed bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi 7909, UAE.
Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration
Mar 6, 2026Ninghao Zhang, Bin Zhu, Shijie Zhou +1Vision-Language-Action Models Robustness of VLA Models
Tsinghua University · Singapore Management University · Institute of Trustworthy Embodied AI, Fudan University +1

Mar 13, 2026J/K move · Enter open · S save

PVI: Plug-in Visual Injection for Vision-Language-Action Models

Zezhou Zhang, Songxin Zhang, Xiao Xiong, Junjie Zhang+7

Lionrock AI Lab, China Merchants Group, Hong Kong, China

Vision-Language-Action Models VLMs for Robotics Robotic Manipulation

Open paper AskPDF arXiv

VLA architectures that pair a pretrained VLM with a flow-matching action expert have emerged as a strong paradigm for language-conditioned manipulation. Yet the VLM, optimized for semantic abstraction and typically conditioned on static visual observations, tends to attenuate fine-grained geometric cues and often lacks explicit temporal evidence for the action expert. Prior work mitigates this by injecting auxiliary visual features, but existing approaches either focus on static spatial representations or require substantial architectural modifications to accommodate temporal inputs, leaving temporal information underexplored. We propose Plug-in Visual Injection (PVI), a lightweight, encoder-agnostic module that attaches to a pretrained action expert and injects auxiliary visual representations via zero-initialized residual pathways, preserving pretrained behavior with only single-stage fine-tuning. Using PVI, we obtain consistent gains over the base policy and a range of competitive alternative injection strategies, and our controlled study shows that temporal video features (V-JEPA2) outperform strong static image features (DINOv2), with the largest gains on multi-phase tasks requiring state tracking and coordination. Real-robot experiments on long-horizon bimanual cloth folding further demonstrate the practicality of PVI beyond simulation.