الباحثون

Matteo Grimaldi

المنشورات 2

نسخة أولية وصول مفتوح

SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection

Slip detection is fundamental to dexterous manipulation, yet existing systems often lack precise characterization of detection latency and cross-platform generalization. We present SlipSense, a multimodal tactile slip-detection framework built on TacV5, a compact sensor integrating a $32 \times 32$ piezoresistive array …

نسخة أولية وصول مفتوح

Touch2Trace: Tactile-Driven Imitation Learning for Dexterous Cable Tracing

Matteo Grimaldi, David Klee, Ziling Chen وآخرون · 2026

Dexterous manipulation of deformable objects demands continuous fingertip-level regulation of pressure, friction, and incipient slip. We study one of the most challenging cases: dexterous cable tracing, feeding a cable through the hand with repeated pinch-and-curl motions of the thumb and index finger. We introduce Tou …

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