Vision-Language-Action Models

Also known as VLA

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221 papers in the last four weeks, up 110% on the four weeks before. 1.5% of all new papers.

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Selective Perception for Robot: Task-Aware Attention in Multimodal VLA
Feb 17, 2026Young-Chae Son, Jung-Woo Lee, Yoon-Ji Choi +2Efficient VLA Models Vision-Language-Action Models
Dongguk University
ActionCodec: What Makes for Good Action Tokenizers
Feb 17, 2026Zibin Dong, Yicheng Liu, Shiduo Zhang +8Efficient VLA Models Vision-Language-Action Models
Knowin AI (Work done during an internship) · Tsinghua University · Tianjin University +2
DM0: An Embodied-Native Vision-Language-Action Model towards Physical AI
Feb 16, 2026En Yu, Haoran Lv, Jianjian Sun +46Vision-Language-Action Models Embodied AI
WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
Feb 15, 2026Zhennan Jiang, Shangqing Zhou, Yutong Jiang +11World Models for Robotics World Models
University of Chinese Academy of Sciences · Institute of Automation, Chinese Academy of Sciences · Zhongguancun Academy +2
LongNav-R1: Horizon-Adaptive Multi-Turn RL for Long-Horizon VLA Navigation
Feb 12, 2026Yue Hu, Avery Xi, Qixin Xiao +4Robot Navigation Vision-Language Navigation
University of Michigan, Ann Arbor
H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model
Feb 11, 2026Jinbang Huang, Wenyuan Chen, Zhiyuan Li +9Long-Horizon Robotic Manipulation World Models for Robotics
Huawei Noah’s Ark Lab · University of Toronto · University of British Columbia +1
Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies
Feb 6, 2026Fangyuan Wang, Peng Zhou, Jiaming Qi +4Efficient VLM Inference Visuomotor Policy Learning
The Hong Kong Polytechnic University · Great Bay University · Northeast Forestry University +2
MobileManiBench: Simplifying Model Verification for Mobile Manipulation
Feb 5, 2026Wenbo Wang, Fangyun Wei, QiXiu Li +5Mobile Manipulation Robotics Simulation
University of Sydney · 1Microsoft Research Asia · 3Tsinghua University
DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation
Jan 29, 2026Haozhe Xie, Beichen Wen, Jiarui Zheng +4Inference-Time Optimization Efficient VLM Inference
TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Control
Jan 21, 2026Yuteng Sun, Haoran Wang, Ruofei Bai +4Robotic Control Diffusion Policy
Institute for Infocomm Research (I2R), A*STAR, Singapore · 2Tsinghua University, Beijing, China · 3Nanyang Technological University, Singapore
V-VLAPS: Value-Guided Planning for Vision-Language-Action Models
Jan 2, 2026Ke Ren, Ali Salamatian, Kieran Pattison +1Monte Carlo Tree Search Robotic Manipulation
The University of British Columbia.
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
Dec 27, 2025Borong Zhang, Jiahao Li, Jiachen Shen +7Long-Horizon Planning Robotics
Institute for Artificial Intelligence, Peking University. · Zhongguancun Academy. · PKU-PsiBot Joint Lab. +2
StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision
Dec 26, 2025Shengliang Deng, Mi Yan, Yixin Zheng +7Visual Spatial Reasoning Robotic Manipulation
Galbot · The University of Hong Kong · CFCS, School of CS, Peking University +3
VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer
Dec 9, 2025Songqiao Hu, Zeyi Liu, Shuang Liu +5Robot Safety Vision-Language-Action Models
Department of Automation, Tsinghua University, Beijing 100084, China. · Institute for Embodied Intelligence and Robotics, Tsinghua University, Beijing 100084, China. · 3TetraBOT. +1
HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies
Dec 5, 2025Zhiying Du, Bei Liu, Yaobo Liang +7Visuomotor Policy Learning Vision-Language-Action Models
1Fudan University · 2Microsoft Research Asia · 3Xi’an Jiaotong University +1
Transport Discrepancy as a Reliability Signal for Vision-Language-Action Models
Dec 1, 2025Wanpeng Zhang, Ye Wang, Hao Luo +6Uncertainty Estimation for VLA Models Vision-Language-Action Models
1Peking University · 3BeingBeyond · 2Renmin University of China
XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
Nov 4, 2025Shichao Fan, Kun Wu, Zhengping Che +12Representation Learning Robot Skill Learning
Beijing Innovation Center of Humanoid Robotics, Beijing, China · State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China · State Key Laboratory of Virtual Reality Technology and Systems, SCSE, Beihang University, Beijing, China +1
A Survey on Efficient Vision-Language-Action Models
Oct 27, 2025Zhaoshu Yu, Bo Wang, Pengpeng Zeng +7Model Compression Robotic Data Collection
School of Computer Science and Technology, Tongji University, China · School of Computing and Artificial Intelligence, Southwest Jiaotong University, China · School of Computer Science and Engineering, University of Electronic Science and Technology of China, China +1
DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action Models
Oct 13, 2025Zonghuan Xu, Jiayu Li, Yunhan Zhao +3Adversarial Attacks on VLA Models Robotic Manipulation
Institute of Trustworthy Embodied AI, Fudan University, Shanghai, China. · Shanghai Key Laboratory of Multimodal Embodied AI, Shanghai, China. · City University of Hong Kong, Hong Kong SAR, China.
Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
Oct 11, 2025Mingyang Lyu, Yinqian Sun, Erliang Lin +4Flow Matching Robotic Manipulation
Brain-inspired Cognitive AI Lab, Institute of Automation, Chinese Academy of Sciences, Beijing, China. · Beijing Institute of AI Safety and Governance, China. · University of Chinese Academy of Sciences (UCAS), Beijing, China. +3
Verifier-free Test-Time Sampling for Vision-Language-Action Models
Oct 7, 2025Suhyeok Jang, Dongyoung Kim, Changyeon Kim +2Test-Time Scaling Vision-Language-Action Models
1KAIST · 3RLWRLD · 2Seoul National University
MM-Nav: Multi-View VLA Model for Robust Visual Navigation via Multi-Expert Learning
Oct 3, 2025Tianyu Xu, Jiawei Chen, Jiazhao Zhang +5Robot Navigation Vision-Language-Action Models
Peking University, Beijing, China · Galbot, Beijing, China · Shanghai Jiao Tong University, Shanghai, China +1
FailSafe: Reasoning and Recovery from Failures in Vision-Language-Action Models
Oct 2, 2025Zijun Lin, Jiafei Duan, Haoquan Fang +4Robot Failure Recovery Synthetic Data Generation for Robotics
1Nanyang Technological University · Centre for Frontier AI Research, A*STAR · 3Allen Institute for AI +1
Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue
Sep 18, 2025Xingyao Lin, Xinghao Zhu, Tianyi Lu +6Language-Conditioned Robot Manipulation Vision-Language-Action Models
College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China. · Shanghai Innovation Institute, Shanghai, China. · Mechanical Systems Control Lab, UC Berkeley, California, USA.
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
Jul 7, 2025Juyi Lin, Amir Taherin, Arash Akbari +11Robotic Control Efficient VLA Model Inference
Northeastern University, Boston, USA · EmbodyX,San Mateo,USA
RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction
May 18, 2025Zewei Ye, Weifeng Lu, Minghao Ye +4Robot Failure Recovery Robustness of VLA Models
School of AI, Shanghai Jiao Tong University · Harbin Institute of Technology, Shenzhen
3D-MoE: Towards Spatial Intelligence with Mixture-of-Experts for 3D Reasoning and Action Generation
Jan 28, 2025Yueen Ma, Zenglin Xu, Irwin King3D Spatial Reasoning Mixture-of-Experts Inference
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR

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Selective Perception for Robot: Task-Aware Attention in Multimodal VLA

Young-Chae Son, Jung-Woo Lee, Yoon-Ji Choi, Dae-Kwan Ko+1

Dongguk University

Efficient VLA Models Vision-Language-Action Models Active Vision for Robot Manipulation Robotic Manipulation

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In robotics, Vision-Language-Action (VLA) models that integrate diverse multimodal signals from multi-view inputs have emerged as an effective approach. However, most prior work adopts static fusion that processes all visual inputs uniformly, which incurs unnecessary computational overhead and allows task-irrelevant background information to act as noise. Inspired by the principles of human active perception, we propose a dynamic information fusion framework designed to maximize the efficiency and robustness of VLA models. Our approach introduces a lightweight adaptive routing architecture that analyzes the current text prompt and observations from a wrist-mounted camera in real-time to predict the task-relevance of multiple camera views. By conditionally attenuating computations for views with low informational utility and selectively providing only essential visual features to the policy network, Our framework achieves computation efficiency proportional to task relevance. Furthermore, to efficiently secure large-scale annotation data for router training, we established an automated labeling pipeline utilizing Vision-Language Models (VLMs) to minimize data collection and annotation costs. Experimental results in real-world robotic manipulation scenarios demonstrate that the proposed approach achieves significant improvements in both inference efficiency and control performance compared to existing VLA models, validating the effectiveness and practicality of dynamic information fusion in resource-constrained, real-time robot control environments.