Junhao Chen

One model to control them all: Qwen-VLA achieves impressive zero-shot generalization across diverse robotic tasks and embodiments by unifying vision-language-action modeling.

Forget vague goals – robots learn to *really* listen when you tell them *how* to do things, boosting real-world manipulation success by 25%.

Forget training-free pipelines: high-quality, feedforward 3D editing is now possible by learning directly from semantic-part transformations.