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When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective

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arxiv 2406.12226 v1 pith:AU7JTYIT submitted 2024-06-18 cs.RO

When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective

classification cs.RO
keywords sensorsvisuotactileprocessingsignalmethodsperspectivereviewapart
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Tactile sensors, which provide information about the physical properties of objects, are an essential component of robotic systems. The visuotactile sensing technology with the merits of high resolution and low cost has facilitated the development of robotics from environment exploration to dexterous operation. Over the years, several reviews on visuotactile sensors for robots have been presented, but few of them discussed the significance of signal processing methods to visuotactile sensors. Apart from ingenious hardware design, the full potential of the sensory system toward designated tasks can only be released with the appropriate signal processing methods. Therefore, this paper provides a comprehensive review of visuotactile sensors from the perspective of signal processing methods and outlooks possible future research directions for visuotactile sensors.

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  1. TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model

    cs.RO 2025-09 conditional novelty 5.0

    A tactile sensor made from eight barometer chips reads forces from 0.01 N to over 200 N, and a learned FEM-to-signal model generates simulated tactile data that lifts shape classification accuracy from 33.6% to 95%.