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

Paper recorded by Signals 4 on 2026-09-14 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.AI · 人工智能 · first seen 2026-09-15

Abstract

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 operating at 240 Hz and a 3-axis MEMS accelerometer operating at 8 kHz. The pie

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#67 most recent of 300 cs.AI papers we have recorded · ↑ newer: Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adopti · ↓ older: Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning
Cite this page: SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection: the #67 most recent of 300 cs.AI papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/slipsense-multimodal-tactile-learning-for-low-latency-and-generalized-slip-detec.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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