12.2ROJun 12
Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning StackHe Zhang, Lingzhu Xiang, Haitao Lin et al.
In this report, we present Hy-Embodied-0.5-VLA, abbreviated as HyVLA-0.5, an end-to-end system that spans the full robot learning stack: data collection, model design, continued pre-training and supervised fine-tuning, RL post-training, and real-world deployment. Each component serves a distinct role in this stack.