SOURCE-LINKED INTELLIGENCE
TouchSight: Bare-Handed Tactile Prediction from Egocentric Video via Generative Visual Augmentation
Tactile signals provide direct contact and force measurements that are essential for understanding physical interactions and enabling dexterous robotic manipulation. However, tactile sensing requires direct measurement at contact interfaces, making large-scale data collection reliant on intrusive, costly, and restrictive instrumentation. We present TouchSight, a monocular egocentric vision framework for dense full-hand contact force prediction that leverages 500 hours of pressure-glove recordings and extensive hand-object interaction (HOI) data. To address the appearance gap between gloved tra
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Evidence & attribution
- arXiv · Artificial Intelligence · 2026-09-17T13:58:43.000Z
- arXiv · AI, language, vision and robotics · 2026-09-17T13:58:43.000Z
First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.