A Survey on Vision-Language-Action Models: An Action Tokenization Perspective
Paper
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2507.01925
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Published
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38
VLA
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DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
Paper • 2507.04447 • Published • 44 -
A Survey on Vision-Language-Action Models for Autonomous Driving
Paper • 2506.24044 • Published • 14 -
EmbRACE-3K: Embodied Reasoning and Action in Complex Environments
Paper • 2507.10548 • Published • 36 -
Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos
Paper • 2507.15597 • Published • 33 -
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
Paper • 2507.16815 • Published • 39 -
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
Paper • 2507.23682 • Published • 23 -
InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation
Paper • 2507.17520 • Published • 14 -
MolmoAct: Action Reasoning Models that can Reason in Space
Paper • 2508.07917 • Published • 43 -
Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies
Paper • 2508.20072 • Published • 30 -
Mechanistic interpretability for steering vision-language-action models
Paper • 2509.00328 • Published • 2 -
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Paper • 2509.06951 • Published • 31 -
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 233 -
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Paper • 2509.09674 • Published • 78 -
FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies
Paper • 2509.04996 • Published • 13 -
A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
Paper • 2509.15937 • Published • 20 -
RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training
Paper • 2510.06710 • Published • 36 -
VLA-0: Building State-of-the-Art VLAs with Zero Modification
Paper • 2510.13054 • Published • 9 -
Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning
Paper • 2510.14300 • Published • 8 -
InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
Paper • 2510.13778 • Published • 16 -
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
Paper • 2510.19430 • Published • 42