DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation

from Embodied AI 101 · host Shaoqing Tan

DexNDM bridges the sim-to-real gap for stable in-hand rotation of complex objects, enabling learning from biased real-world data without requiring any successful demonstrations.

Episode metadata supplied by the publisher feed · Published Jul 22, 2026

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DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation

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