Kavli Affiliate: Zheng Zhu | First 5 Authors: Zhehao Dong, Zhehao Dong, , , | Summary: Vision-language-action (VLA) models increasingly rely on diverse training data to achieve robust generalization. However, collecting large-scale real-world robot manipulation data across varied object appearances and environmental conditions remains prohibitively time-consuming and expensive. To overcome this bottleneck, we propose Embodied […]
Continue.. EMMA: Generalizing Real-World Robot Manipulation via Generative Visual Transfer