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Variational neural belief parameterizations can drastically enhance grasping success rates and reduce planning time under multimodal uncertainties, outperforming traditional methods by an order of magnitude.
Achieve safe, real-time robot navigation in complex environments by combining global MILP planning with local, geometry-aware CBF control.
