arXiv Robotics — research abstracts· Zhaoyang Liu, Kun Jiang, Ziying Song, Diange Yang·· 10 days agoEditorial score21
VGGTWorld-VLA: Intent-Conditioned 3D World Evolution for Autonomous Driving
VGGTWorld-VLA: Intent-Conditioned 3D World Evolution for Autonomous Driving
Summary
VGGTWorld-VLA improves 3D world prediction by integrating driving intentions and actions. It enables controllable future geometry forecasts through semantic and action conditioning. Results show competitive performance in autonomous driving scenarios.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Source：arXiv Robotics — research abstracts · arxiv.org