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An Interpretable Deep Learning Framework for Material Perception and Classification from Multisensory Tactile Data

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Source: arXiv cs.ROPublish time unverified

arXiv:2608.21894v1 Announce Type: new Abstract: Human tactile perception relies on complex multisensory cues. Yet the relationship between tactile signals and perceptual representations remains poorly understood, limiting the integration of touch in digital environments and human-like robotic perception.

An Interpretable Deep Learning Framework for Material Perception and Classification from Multisensory Tactile Data | Embodied Intelligence Observer