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Marker Displacement Method Used in Vision-Based Tactile Sensors—From 2D to 3D: A Review

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posted on 2023-02-23, 16:08 authored by Mingxuan LiMingxuan Li, Tiemin Li, Yao Jiang

This article presents a detailed review and categorizing of the marker displacement method (MDM) used in vision-based tactile sensors. Vision-based tactile sensors have been proven to be a promising solution for robot tactile perception. Among such sensors, MDM is one of the most commonly used contact characterization and extraction methods. It uses visual approaches to obtain contact deformation and achieve multimodal tactile perception using physical models and post-processing algorithms. In recent years, many tactile sensors using MDM have been developed. However, the existing research does not strictly distinguish between the different types of methods but is uniformly grouped into MDM. Without differentiation, there might be a lack of systematic and comprehensive guidance in analyzing and optimizing the characteristics of MDM and selecting the most suitable method. This article is the first to classify MDM into three typical categories based on the dimensionality perspective: 2D MDM, 2.5D MDM, and 3D MDM. 2D MDM relies only on the monocular camera to acquire the marker array’s 2D displacement field. 2.5D MDM supplements 2D MDM with selected indirect features reflecting the location of the markers in the third dimension. 3D MDM employs a multi-camera system and can obtain the 3D displacement field using the stereo vision method common. Based on the latest literature, we compare the principles, characteristics, advantages and disadvantages, and applications of the three ways in detail. This work can provide a valuable reference for researchers interested in applying MDM in fields such as vision-based tactile sensors.

Funding

National Natural Science Foundation of China under Grant 51705274

A grant from the Institute for Guo Qiang, Tsinghua University

National Training Program of Innovation and Entrepreneurship for Undergraduates under Grant 202210003017

Tsinghua University Initiative Scientific Research Program

History

Email Address of Submitting Author

mx-li19@mails.tsinghua.edu.cn

ORCID of Submitting Author

0000-0003-4159-1831

Submitting Author's Institution

Tsinghua University

Submitting Author's Country

  • China