SOURCE-LINKED INTELLIGENCE
Norm2Tex: Augmenting Visuo-Tactile Simulations with Texture
Large-scale datasets are essential for training generalist robot control policies. Collecting real-world tactile data is costly and time-consuming, motivating the use of tactile simulations. However, current tactile simulators capture only overall contact geometry and miss fine details like texture. This results in a significant domain shift between simulated and real tactile data. To address this gap, we introduce Norm2Tex, a plug-in method that augments simulations of vision-based tactile sensors with high-frequency surface details from normal map textures. By modifying the target object's d
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T20:40:59.000Z
First collected: 2026-09-23T06:11:12.848Z. This is not the publication date.