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Monocular robots can now achieve real-time, high-confidence occupancy mapping, rivaling traditional RGB-D systems without the added weight and cost of depth sensors.
Neural networks can turbocharge classical optimization for high-dimensional matrix estimation, achieving faster convergence without sacrificing theoretical guarantees.
