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University of Central Florida
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AD-MPCC achieves faster lap times and enhanced safety in autonomous racing by dynamically adapting to road conditions in real time.
Achieve safer and more performant robot control in iterative tasks by using normalizing flows to learn value functions within a model predictive control framework.
