Cover Image

RynnVLA-002: A Unified Vision-Language-Action and World Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cen, Jun, Huang, Siteng, Yuan, Yuqian, Li, Kehan, Yuan, Hangjie, Yu, Chaohui, Hou, Bohan, Jiang, Yuming, Guo, Jiayan, Li, Xin, Luo, Hao, Wang, Fan, Zhao, Deli, Chen, Hao
Format:	Preprint
Published:	2025
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
by: Jiang, Yuming, et al.
Published: (2025)

WorldVLA: Towards Autoregressive Action World Model
by: Cen, Jun, et al.
Published: (2025)

RynnEC: Bringing MLLMs into Embodied World
by: Dang, Ronghao, et al.
Published: (2025)

RynnBrain: Open Embodied Foundation Models
by: Dang, Ronghao, et al.
Published: (2026)

DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
by: jia, Feiyang, et al.
Published: (2026)

QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
by: Ding, Pengxiang, et al.
Published: (2023)

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model
by: Liu, Jiaming, et al.
Published: (2025)

Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors
by: Zhao, Haoyu, et al.
Published: (2025)

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model
by: Jiang, Anqing, et al.
Published: (2025)

$Δ$VLA: Prior-Guided Vision-Language-Action Models via World Knowledge Variation
by: Zhu, Yijie, et al.
Published: (2026)

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
by: Wang, Yihao, et al.
Published: (2025)

High-Fidelity Simulated Data Generation for Real-World Zero-Shot Robotic Manipulation Learning with Gaussian Splatting
by: Zhao, Haoyu, et al.
Published: (2025)

MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation
by: Liu, Yang, et al.
Published: (2026)

Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation
by: Fan, Yiguo, et al.
Published: (2025)

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
by: Zhang, Wenyao, et al.
Published: (2025)

AT-VLA: Adaptive Tactile Injection for Enhanced Feedback Reaction in Vision-Language-Action Models
by: Li, Xiaoqi, et al.
Published: (2026)

EvoVLA: Self-Evolving Vision-Language-Action Model
by: Liu, Zeting, et al.
Published: (2025)

X-DiffVLA: X-Embodied Diffusion Action Heads for Vision-Language-Action Models
by: Li, Boyu, et al.
Published: (2026)

PixelRefer: A Unified Framework for Spatio-Temporal Object Referring with Arbitrary Granularity
by: Yuan, Yuqian, et al.
Published: (2025)

Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
by: Wang, Qiuyue, et al.
Published: (2026)

MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots
by: Huang, Ting, et al.
Published: (2025)

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models
by: Li, Ye, et al.
Published: (2026)

FutureVLA: Joint Visuomotor Prediction for Vision-Language-Action Model
by: Xu, Xiaoxu, et al.
Published: (2026)

EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
by: Yuan, Yuqian, et al.
Published: (2025)

Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild
by: Luo, Hao, et al.
Published: (2026)

AerialVLA: A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control
by: Xu, Peng, et al.
Published: (2026)

VacuumVLA: Boosting VLA Capabilities via a Unified Suction and Gripping Tool for Complex Robotic Manipulation
by: Zhou, Hui, et al.
Published: (2025)

PointVLA: Injecting the 3D World into Vision-Language-Action Models
by: Li, Chengmeng, et al.
Published: (2025)

LoopVLA: Learning Sufficiency in Recurrent Refinement for Vision-Language-Action Models
by: Shen, Boyang, et al.
Published: (2026)

AnchorVLA4D: an Anchor-Based Spatial-Temporal Vision-Language-Action Model for Robotic Manipulation
by: Zhu, Juan, et al.
Published: (2026)

DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
by: Shang, Shuyao, et al.
Published: (2026)

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration
by: Zeng, Fanhu, et al.
Published: (2025)

VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model
by: Sun, Jingwen, et al.
Published: (2026)

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
by: Zhang, Boqiang, et al.
Published: (2025)

SG-VLA: Learning Spatially-Grounded Vision-Language-Action Models for Mobile Manipulation
by: Tu, Ruisen, et al.
Published: (2026)

VLA-AN: An Efficient and Onboard Vision-Language-Action Framework for Aerial Navigation in Complex Environments
by: Wu, Yuze, et al.
Published: (2025)

RotVLA: Rotational Latent Action for Vision-Language-Action Model
by: Li, Qiwei, et al.
Published: (2026)

VisualThink-VLA: Visual Intermediate Reasoning for Effective and Low-Latency Vision-Language-Action Policies
by: Gao, Mingjian, et al.
Published: (2026)

FocusVLA: Focused Visual Utilization for Vision-Language-Action Models
by: Zhang, Yichi, et al.
Published: (2026)

HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models
by: Lin, Minghui, et al.
Published: (2025)