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FlipToSee is proposed, a probabilistic framework that removes representational ambiguity by parameterizing placements as unit support normals on $S^2$ while modeling their multimodal conditional distribution via a von Mises--Fisher mixture density network.
Vision-driven force estimation can replace slow tactile exploration, enabling robots to handle fragile date fruits without damage.
