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South China University of Technology
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Decoupling semantic reasoning from real-time control allows robots to master complex tasks with unprecedented stability and generalization.
By forecasting compact world dynamics before taking action, DynVLA leapfrogs traditional CoT methods to achieve more informed and physically grounded autonomous driving decisions.
