SoTa: Soft Tactile Skins for Dexterous Manipulation

What happened

arXiv:2610.02338v1 Announce Type: new Abstract: A growing body of work suggests that tactile sensing gives robot policies contact information that complements vision in dexterous manipulation. However, visuo-tactile robot data remains scarce: dexterous demonstrations require teleoperating robots, which limits dataset scale.

Human demonstrations are far cheaper to collect and offer a path to scale this data, but only if human and robot hands carry tactile sensors with corresponding signals. This requires sensors that conform to different hand geometries, cover the full hand, and share a common layout across embodiments.

The sensor retains over 97% of its initial response span after 10,000 loading-unloading cycles with traces retaining continuity through 1,280 tight-fist folding cycles. The shared taxel layout provides support for human-robot co-training with a common tactile encoder and no learned cross-sensor mapping.

Key facts

• The shared taxel layout — support: human-robot co-training with a common tactile encoder and no learned cross-sensor mapping