Vision-Language-Action

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 49 papers with code (157 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• OpenVLA: An Open-Source Vision-Language-Action Model
  13 Jun 2024 3 repositories listed Syntology ran 2 of 10 samples · 8 unverified
  Large policies pretrained on a combination of Internet-scale vision-language data and diverse robot demonstrations have the potential to change how we teach robots new skills: rather than training new behaviors from…
• Vision Language Action Models in Robotic Manipulation: A Systematic Review
  14 Jul 2025 1 repository listed
  Vision Language Action (VLA) models represent a transformative shift in robotics, with the aim of unifying visual perception, natural language understanding, and embodied control within a single learning framework.
• VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
  7 Jul 2025 1 repository listed Syntology ran 0 of 5 samples · 5 unverified · 5 pointer-only (licence)
  In this work, we propose VOTE, an efficient and general framework for the optimization and acceleration of VLA models.
• DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
  6 Jul 2025 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Recent advances in vision-language-action (VLA) models have shown promise in integrating image generation with action prediction to improve generalization and reasoning in robot manipulation.
• A Survey on Vision-Language-Action Models for Autonomous Driving
  30 Jun 2025 1 repository listed
  The rapid progress of multimodal large language models (MLLM) has paved the way for Vision-Language-Action (VLA) paradigms, which integrate visual perception, natural language understanding, and control within a single…
• WorldVLA: Towards Autoregressive Action World Model
  26 Jun 2025 1 repository listed Syntology ran 0 of 4 samples · 4 unverified · 4 pointer-only (licence)
  We present WorldVLA, an autoregressive action world model that unifies action and image understanding and generation.
• Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends
  26 Jun 2025 1 repository listed
  VLA model post-training aims to address the challenge of improving an embodiment's ability to interact with the environment for the given tasks, analogous to the process of humans motor skills acquisition.
• AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
  16 Jun 2025 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Recent advancements in Vision-Language-Action (VLA) models have shown promise for end-to-end autonomous driving by leveraging world knowledge and reasoning capabilities.
• A Comprehensive Survey on Continual Learning in Generative Models
  16 Jun 2025 1 repository listed
  The rapid advancement of generative models has enabled modern AI systems to comprehend and produce highly sophisticated content, even achieving human-level performance in specific domains.
• Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion Models in a Vision-Language-Action Framework
  9 Jun 2025 1 repository listed
  Our method formulates gesture prediction as a structured sequence denoising task, conditioned on multimodal inputs including endoscopic video, surgical intent language, and a privacy-aware embedding of surgeon identity…
• BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation
  9 Jun 2025 1 repository listed
  To further reduce the memory footprint of the vision encoder, we propose the distillation-aware training strategy that compresses the full-precision encoder to 1.
• Real-Time Execution of Action Chunking Flow Policies
  9 Jun 2025 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Modern AI systems, especially those interacting with the physical world, increasingly require real-time performance.
• Adversarial Attacks on Robotic Vision Language Action Models
  3 Jun 2025 1 repository listed
  This differs significantly from LLM jailbreaking literature, as attacks in the real world do not have to be semantically linked to notions of harm.
• SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
  2 Jun 2025 1 repository listed Syntology ran 0 of 5 samples · 5 unverified · 5 pointer-only (licence)
  Vision-language models (VLMs) pretrained on large-scale multimodal datasets encode rich visual and linguistic knowledge, making them a strong foundation for robotics.
• Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
  29 May 2025 1 repository listed
  Vision-Language-Action (VLA) models for autonomous driving show promise but falter in unstructured corner case scenarios, largely due to a scarcity of targeted benchmarks.
• ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge
  28 May 2025 1 repository listed Syntology ran 4 of 17 samples · 13 unverified
  We argue that a generalizable VLA model should retain and expand upon the VLM's core competencies: 1) Open-world embodied reasoning - the VLA should inherit the knowledge from VLM, i.
• VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning
  24 May 2025 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Recent high-capacity vision-language-action (VLA) models have demonstrated impressive performance on a range of robotic manipulation tasks by imitating human demonstrations.
• Perceptual Quality Assessment for Embodied AI
  22 May 2025 1 repository listed
  Embodied AI has developed rapidly in recent years, but it is still mainly deployed in laboratories, with various distortions in the Real-world limiting its application.
• Exploring the Limits of Vision-Language-Action Manipulations in Cross-task Generalization
  21 May 2025 1 repository listed
  The generalization capabilities of vision-language-action (VLA) models to unseen tasks are crucial to achieving general-purpose robotic manipulation in open-world settings.
• RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction
  18 May 2025 1 repository listed
  Vision-Language-Action (VLA) models have recently advanced robotic manipulation by translating natural-language instructions and image information into sequential control actions.
• From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
  13 May 2025 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  To address these limitations, we propose FSD (From Seeing to Doing), a novel vision-language model that generates intermediate representations through spatial relationship reasoning, providing fine-grained guidance for…
• UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
  9 May 2025 1 repository listed Syntology ran 1 of 5 samples · 4 unverified
  Learned from internet-scale videos, the generalist policy can be deployed to various robots through efficient latent action decoding.
• Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended Action Environments
  8 May 2025 1 repository listed
  Vision-language-action (VLA) models represent an important step toward general-purpose robotic systems by integrating visual perception, language understanding, and action execution.
• OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation
  6 May 2025 1 repository listed Syntology ran 0 of 12 samples · 12 unverified
  Dual-system VLA (Vision-Language-Action) architectures have become a hot topic in embodied intelligence research, but there is a lack of sufficient open-source work for further performance analysis and optimization.
• GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
  14 Apr 2025 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  Existing efforts in building Graphical User Interface (GUI) agents largely rely on the training paradigm of supervised fine-tuning on Large Vision-Language Models (LVLMs).
• OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
  30 Mar 2025 1 repository listed Syntology ran 2 of 9 samples · 7 unverified
  We present OpenDriveVLA, a Vision-Language Action (VLA) model designed for end-to-end autonomous driving.
• Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy
  25 Mar 2025 1 repository listed Syntology ran 2 of 3 samples · 1 unverified
  While recent vision-language-action models trained on diverse robot datasets exhibit promising generalization capabilities with limited in-domain data, their reliance on compact action heads to predict discretized or…
• CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games
  12 Mar 2025 1 repository listed
  Recent advances in Vision-Language-Action models (VLAs) have expanded the capabilities of embodied intelligence.
• PointVLA: Injecting the 3D World into Vision-Language-Action Models
  10 Mar 2025 1 repository listed Syntology ran 7 of 15 samples · 8 unverified
  Vision-Language-Action (VLA) models excel at robotic tasks by leveraging large-scale 2D vision-language pretraining, but their reliance on RGB images limits spatial reasoning critical for real-world interaction.
• Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
  27 Feb 2025 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  In real-world evaluations, our fine-tuning recipe enables OpenVLA to successfully execute dexterous, high-frequency control tasks on a bimanual ALOHA robot and outperform other VLAs (π₀ and RDT-1B) fine-tuned using…

Syntology lines on 17 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.