Multi-layer Electrical Impedance Tomography Based Soft Tactile Skins

被引:0
|
作者
Wang, Yuexuan [1 ]
Naritnni, Daichi [2 ]
Shigemune, Hiroki [2 ]
Thuruthel, Thomas George [1 ]
机构
[1] UCL, Dept Comp Sci, London, England
[2] Shibaura Inst Technol, Dept Elect Engn, Tokyo, Japan
关键词
D O I
10.1109/ROBOSOFT60065.2024.10521981
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Distributed high-density tactile sensing is a challenging problem with numerous commercial applications. Soft sensing technologies appear to be a promising approach to address this challenge. In particular, Electrical Impedance Tomography (EIT)-based soft sensors are desirable because they can offer a large sensing surface without rigid electrodes and provide high sensing resolution. However, their applicability is limited to simple sensor shapes, and they require materials with high conductivity for sensing accuracy. This project introduces a novel multi-layered architecture for EIT-based soft skins. This innovation allows us to develop sensory skins with multiple materials and provides greater flexibility in electrode placement, resulting in higher accuracy. We experimentally tested the method's applicability using soft skins of varying morphology, employing a hydrogel-based tactile skin. The results demonstrate that our multi-layer soft skin improves average accuracy compared to a single-layer EIT-based skin, reducing it from 15.8 mm to 4.4 mm.
引用
收藏
页码:1101 / 1106
页数:6
相关论文
共 50 条
  • [31] Multi-Frame Constrained Block Sparse Bayesian Learning for Flexible Tactile Sensing Using Electrical Impedance Tomography
    Ma, Gang
    Chen, Haofeng
    Wang, Peng
    Wang, Xiaojie
    [J]. IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2022, 8 : 438 - 448
  • [32] A Large-Area Flexible Tactile Sensor for Multi-Touch and Force Detection Using Electrical Impedance Tomography
    Chen, Haofeng
    Yang, Xuanxuan
    Wang, Peng
    Geng, Jialu
    Ma, Gang
    Wang, Xiaojie
    [J]. IEEE SENSORS JOURNAL, 2022, 22 (07) : 7119 - 7129
  • [33] Internal Array Electrodes Improve the Spatial Resolution of Soft Tactile Sensors Based on Electrical Resistance Tomography
    Lee, Hyosang
    Park, Kyungseo
    Kim, Jung
    Kuchenbecker, Katherine J.
    [J]. 2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2019, : 5411 - 5417
  • [34] Multi-layer nanopaper based composites
    Mautner, Andreas
    Lucenius, Jessica
    Osterberg, Monika
    Bismarck, Alexander
    [J]. CELLULOSE, 2017, 24 (04) : 1759 - 1773
  • [35] A Virtual Puncture Surgery System Based on Multi-Layer Soft Tissue and Force Mesh
    Zhang, Xiaorui
    Duanl, Jiali
    Zhu, Lifeng
    Kavan, Ladislav
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2018, 57 (03): : 505 - 519
  • [36] A multi-layer soft lattice based model for Chinese clinical named entity recognition
    Shuli Guo
    Wentao Yang
    Lina Han
    Xiaowei Song
    Guowei Wang
    [J]. BMC Medical Informatics and Decision Making, 22
  • [37] A multi-layer soft lattice based model for Chinese clinical named entity recognition
    Guo, Shuli
    Yang, Wentao
    Han, Lina
    Song, Xiaowei
    Wang, Guowei
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2022, 22 (01) : 201
  • [38] A Soft Sensor Method based on Unsupervised Multi-layer Domain Adaptation for Batch Processes
    Xiong, Qin
    Jin, Huaiping
    Bin Wang
    Liu, Haipeng
    Yu, Wangyang
    [J]. 2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 1805 - 1811
  • [39] Multi-layer nanopaper based composites
    Andreas Mautner
    Jessica Lucenius
    Monika Österberg
    Alexander Bismarck
    [J]. Cellulose, 2017, 24 : 1759 - 1773
  • [40] A Bayesian filtering approach to layer stripping for electrical impedance tomography
    Calvetti, D.
    Nakkireddy, S.
    Somersalo, E.
    [J]. INVERSE PROBLEMS, 2020, 36 (05)