SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models
Paper • 2511.15605 • Published • 25
VLA
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VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
Paper • 2510.00406 • Published • 68 -
RLDX-1 Technical Report
Paper • 2605.03269 • Published • 95 -
MolmoAct2: Action Reasoning Models for Real-world Deployment
Paper • 2605.02881 • Published • 261 -
VLA-RAIL: A Real-Time Asynchronous Inference Linker for VLA Models and Robots
Paper • 2512.24673 • Published -
Green-VLA: Staged Vision-Language-Action Model for Generalist Robots
Paper • 2602.00919 • Published • 324 -
Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning
Paper • 2602.10503 • Published -
MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation
Paper • 2603.25406 • Published • 5 -
MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots
Paper • 2511.17889 • Published • 5 -
How Fast Can I Run My VLA? Demystifying VLA Inference Performance with VLA-Perf
Paper • 2602.18397 • Published -
Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos
Paper • 2512.13080 • Published • 17 -
Long-Term Memory for VLA-based Agents in Open-World Task Execution
Paper • 2604.15671 • Published -
Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions
Paper • 2505.02152 • Published -
TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments
Paper • 2602.02459 • Published • 4 -
When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models
Paper • 2511.21192 • Published -
Towards Accessible Physical AI: LoRA-Based Fine-Tuning of VLA Models for Real-World Robot Control
Paper • 2512.11921 • Published -
A Dual Process VLA: Efficient Robotic Manipulation Leveraging VLM
Paper • 2410.15549 • Published -
End-to-End Dexterous Arm-Hand VLA Policies via Shared Autonomy: VR Teleoperation Augmented by Autonomous Hand VLA Policy for Efficient Data Collection
Paper • 2511.00139 • Published • 1 -
LLaDA-VLA: Vision Language Diffusion Action Models
Paper • 2509.06932 • Published -
HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies
Paper • 2512.05693 • Published • 1 -
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
Paper • 2601.06748 • Published -
TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
Paper • 2510.07134 • Published -
World-Gymnast: Training Robots with Reinforcement Learning in a World Model
Paper • 2602.02454 • Published -
Butter-Bench: Evaluating LLM Controlled Robots for Practical Intelligence
Paper • 2510.21860 • Published -
RoboGene: Boosting VLA Pre-training via Diversity-Driven Agentic Framework for Real-World Task Generation
Paper • 2602.16444 • Published -
WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
Paper • 2602.13977 • Published • 2 -
Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey
Paper • 2510.17111 • Published -
Pure Vision Language Action (VLA) Models: A Comprehensive Survey
Paper • 2509.19012 • Published -
VLA-0: Building State-of-the-Art VLAs with Zero Modification
Paper • 2510.13054 • Published • 16 -
10 Open Challenges Steering the Future of Vision-Language-Action Models
Paper • 2511.05936 • Published • 6 -
Evo-0: Vision-Language-Action Model with Implicit Spatial Understanding
Paper • 2507.00416 • Published -
An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges
Paper • 2512.11362 • Published • 23 -
NanoVLA: Routing Decoupled Vision-Language Understanding for Nano-sized Generalist Robotic Policies
Paper • 2510.25122 • Published -
VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model
Paper • 2602.10098 • Published • 19 -
JEPA-VLA: Video Predictive Embedding is Needed for VLA Models
Paper • 2602.11832 • Published