<ul><li>Multimodal Large Language Models (MLLMs) are enhancing robotic capabilities by enabling machines to perceive, interpret, and act within their environments.</li><li>The VeBrain framework aims to unify vision, reasoning, and physical interaction for improved robotic control by addressing the limitations of previous VLA models.</li><li>VeBrain integrates multimodal understanding, spatial reasoning, and robotic control into a cohesive system, outperforming previous models across various benchmarks.</li><li>The research signifies a significant step towards autonomous and intelligent robotics systems that can handle complex tasks and environments with high reliability.</li></ul>

VeBrain: A Unified Multimodal AI Framework for Visual Reasoning and Real-World Robotic Control

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