Yongli Hu

Decomposing robotic manipulation into coarse trajectory anchors and fine-grained residual refinement boosts real-world success rates by 18%, suggesting a more human-like approach to VLA control.

Forget brute-force scaling: injecting topological awareness into smaller VLMs drastically improves performance on Vision-Language Navigation, surpassing larger models.