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PART achieves a remarkable class-agnostic average precision of 0.8827 while effectively detecting rare moving objects in challenging conditions, showcasing the power of physics-informed radar processing.
Unlock diverse robotic movements with IN-FOAMs, a new class of artificial muscles that leverage programmable origami-inspired skeletons and hybrid positive-negative pressure actuation.
