Vision-Language-Action Models

Also known as VLA

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

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NeuroVLA: A Brain-inspired Embodied Intelligence for Fluid and Fast Reflexive Robotics Control
Jan 21, 2026Weiyu Guo, He Zhang, Pengteng Li +7Robotic Control Vision-Language-Action Models
The Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China. · AI2 Robotics, Shenzhen, China · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China +1
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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NeuroVLA: A Brain-inspired Embodied Intelligence for Fluid and Fast Reflexive Robotics Control

Weiyu Guo, He Zhang, Pengteng Li, Tiefu Cai+6

The Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China. · AI2 Robotics, Shenzhen, China · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China+1

Robotic Control Vision-Language-Action Models Robotic Manipulation Neuromorphic Computing Spiking Neural Networks

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Vision-language-action (VLA) models inherit powerful semantic representations from large language models, but carrying over their design priorities can leave the demands of physical control under-specified. Stable manipulation requires high-frequency proprioceptive feedback and persistent motor state, in addition to instruction understanding. Here we introduce Neuromorphic Vision-Language-Action (NeuroVLA), a brain-inspired architecture that couples a cortical vision-language planner to recurrent cerebellar modulation and a stateful spiking spinal controller. These components translate semantic intent into actions while incorporating high-frequency proprioceptive and force feedback, maintaining short-term motor memory, and enabling local responses to unexpected contact. In simulated and physical manipulation tasks, the cerebellar module reduces mean commanded jerk by 75.6%, and NeuroVLA achieves a 54.8% collision-recovery rate compared with 0.0% for the evaluated VLA baselines. The spinal controller implemented on an FPGA-based neuromorphic processor achieves 2.19 ms inference latency and 0.87 mJ per inference, corresponding to approximately 0.4 W during inference. These results motivate moving beyond inherited language-model design priorities toward embodied architectures that explicitly integrate semantic planning, high-frequency bodily feedback, motor memory, and local correction.