Robotics
RAF-VLA: Representation Alignment with the Future for End-to-End Autonomous Driving
Leveraging world modeling to enhance decision-making through future scene prediction.
Recent Vision-Language-Action (VLA) models for autonomous driving have incorporated world modeling by predicting future driving scenes alongside driving actions, demonstrating strong planning performance. Future driving scenes are utilized as dense supervision, encouraging the po...
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ArXiv CS.RO
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ArXiv CS.RO
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By utilizing future scene prediction as a form of dense self-supervision, this model bridges the gap between static visual perception and dynamic real-world planning. This technique effectively grounds decision-making in temporal understanding, significantly improving the robustness of end-to-end autonomous driving systems.
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