AI RESEARCH
GaMi: Geometry-Agnostic Material Identification via Cross-Modal Subtractive Disentanglement
arXiv CS.AI
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ArXi:2605.30818v1 Announce Type: cross Non-contact material identification enables adaptive interaction for embodied intelligence yet faces challenges from geometry-induced variations (e.g., orientation, shape, distance) and single-modality ambiguities. In this paper, we present GaMi, a multimodal material identification system integrating mmWave and acoustic sensing to robustly operate under unconstrained geometric conditions.