Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing

Electrical impedance tomography (EIT) based tactile sensor offers significant benefits on practical deployment because of its sparse electrode allocation, including durability, large-area scalability, and low fabrication cost, but the degradation of a tactile spatial resolution has remained challeng...

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Veröffentlicht in:	IEEE transactions on robotics Jg. 37; H. 5; S. 1570 - 1583
Hauptverfasser:	Park, Hyunkyu, Park, Kyungseo, Mo, Sangwoo, Kim, Jung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial intelligence (AI) based methods Artificial neural networks Computational efficiency Conductivity deep learning in robotics and automation Discrimination Electrical impedance Electrodes force and tactile sensing Hardness tests Image reconstruction Indentation Neural networks Reconstruction Robot sensing systems Sensitivity Sensors Spatial resolution Tactile sensors (robotics) Tomography Touch Voltage measurement
ISSN:	1552-3098, 1941-0468
Online-Zugang:	Volltext
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