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Robots can now navigate safely in unpredictable environments by effectively managing multi-object uncertainties with a novel risk-aware control framework.
Language-driven cost optimization enables autonomous vehicles to adapt their driving behavior intuitively, bridging the gap between technical complexity and user preferences.
SDP transforms human corrections into a powerful learning signal, significantly boosting policy robustness and efficiency in robotic manipulation tasks.
Forget exhaustive coverage – robots can find targets faster by learning what matters most from expert search strategies.
