![[2511.17502] RynnVLA-002: A Unified Vision-Language-Action and World Model](/static/img/curated/desks/afbytes-tech.png)
[2511.17502] RynnVLA-002: A Unified Vision-Language-Action and World Model
Abstract page for arXiv paper 2511.17502: RynnVLA-002: A Unified Vision-Language-Action and World Model
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[2606.02307] FATE-VLA:Failue-aware test generation for vision-language-action models
Abstract page for arXiv paper 2606.02307: FATE-VLA:Failue-aware test generation for vision-language-action models
[2606.02313] Towards Precise Intent-Aligned VLA Aerial Navigation via Expert-Guided GRPO
Abstract page for arXiv paper 2606.02313: Towards Precise Intent-Aligned VLA Aerial Navigation via Expert-Guided GRPO
[2605.29416] 3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance Understanding
Abstract page for arXiv paper 2605.29416: 3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance Understanding
[2605.29438] ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models
Abstract page for arXiv paper 2605.29438: ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models
[2510.22190] RGC: a radio AGN classifier based on deep learning. I. A semi-supervised multiclass model for VLA images
Abstract page for arXiv paper 2510.22190: RGC: a radio AGN classifier based on deep learning. I. A semi-supervised multiclass model for VLA images