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.
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