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Ken Nakahara

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#machine learning Preprint Oct 2026

Temporal Visuo-Tactile Learning for Dexterous Grasp Stability

Results show how rich fingertip sensing and expressive temporal models that capture the dynamics of touch can support learned grasping with multi-fingered hands without explicit contact or force modeling, providing a scalable data-driven path from tactile experience toward stable dexterous manipulation.

Ken Nakahara, Aleksei Buvailik, P. Kotov et al. · 0 citations

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