StableVLA: Towards Robust Vision-Language-Action Models without Extra Data Paper • 2605.18287 • Published May 18 • 15
MixSD: Mixed Contextual Self-Distillation for Knowledge Injection Paper • 2605.16865 • Published May 16 • 10
VersaViT: Enhancing MLLM Vision Backbones via Task-Guided Optimization Paper • 2602.09934 • Published Feb 10 • 1
Flash-WAM: Modality-Aware Distillation for World Action Models Paper • 2606.05254 • Published Jun 3 • 7
Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning Paper • 2606.05645 • Published Jun 4 • 2
Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? Paper • 2606.04811 • Published Jun 4 • 17
Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy Distillation Paper • 2606.02684 • Published Jun 1 • 17
GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors Paper • 2606.05160 • Published Jun 3 • 8
SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes Paper • 2605.31148 • Published May 29 • 3
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Paper • 2606.02437 • Published Jun 1 • 237
Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments Paper • 2605.30280 • Published May 28 • 146
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding Paper • 2605.27365 • Published May 26 • 145
World Pilot: Steering Vision-Language-Action Models with World-Action Priors Paper • 2606.12403 • Published Jun 10 • 26
Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning Paper • 2606.11683 • Published Jun 10 • 30
On Subquadratic Architectures: From Applications to Principles Paper • 2606.12364 • Published Jun 10 • 23
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models Paper • 2606.11324 • Published Jun 9 • 170
World Model Self-Distillation: Training World Models to Solve General Tasks Paper • 2606.12072 • Published Jun 10 • 14
WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation Paper • 2606.13672 • Published about 1 month ago • 4
Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack Paper • 2606.14409 • Published 30 days ago • 15
μ_0: A Scalable 3D Interaction-Trace World Model Paper • 2606.13769 • Published about 1 month ago • 10
World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible Paper • 2606.13652 • Published about 1 month ago • 16
EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies Paper • 2606.20092 • Published 24 days ago • 6
From Foundation to Application: Improving VLA Models in Practice Paper • 2607.06403 • Published 5 days ago • 17
GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Paper • 2607.02642 • Published 10 days ago • 37
Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing Paper • 2607.07953 • Published 4 days ago • 9
RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies Paper • 2607.04434 • Published 5 days ago • 11
Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation Paper • 2607.07608 • Published 4 days ago • 51