AI RESEARCH
Edge Radar Material Classification Under Geometry Shifts
arXiv CS.AI
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ArXi:2603.23342v1 Announce Type: cross Material awareness can improve robotic navigation and interaction, particularly in conditions where cameras and LiDAR degrade. We present a lightweight mmWave radar material classification pipeline designed for ultra-low-power edge devices (TI IWRL6432), using compact range-bin intensity descriptors and a Multilayer Perceptron (MLP) for real-time inference. While the classifier reaches a macro-F1 of 94.2\% under the nominal