MagicGel: A Novel Visual-Based Tactile Sensor Design with Magnetic Gel
Jianhua Shan, Jie Zhao, Jiangduo Liu, Xiangbo Wang, Ziwei Xia, Guangzeng Chen, Zeyu Ren, Guangyuan Xu
Abstract
Force estimation is the core indicator for evaluating the performance of tactile sensors, and it is also the key technical path to achieving precise force feedback mechanisms. This study proposes a design method for a visual tactile sensor (VBTS) that integrates a magnetic perception mechanism, and develops a new tactile sensor called MagicGel. The sensor uses strong magnetic particles as markers and captures magnetic field changes in real time through Hall sensors. On this basis, MagicGel achieves the coordinated optimization of multimodal perception capabilities: it not only has fast response characteristics, but also can perceive non-contact status information of home electronic products. Specifically, MagicGel simultaneously analyzes the visual characteristics of magnetic particles and the multimodal data of changes in magnetic field intensity, ultimately improving force estimation capabilities.
BibTeX
@inproceedings{iros2025_magicgelanovelvi,
title = {MagicGel: A Novel Visual-Based Tactile Sensor Design with Magnetic Gel},
author = {Jianhua Shan and Jie Zhao and Jiangduo Liu and Xiangbo Wang and Ziwei Xia and Guangzeng Chen and Zeyu Ren and Guangyuan Xu and Bin Fang},
booktitle = {IROS 2025},
year = {2025}
}