Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks-Reference-Cited by-同舟云学术

Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks

Published:2023-01 Issue:1 Volume:20 Page:425-439
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Lee Hyosang¹^ORCID,Sun Huanbo²^ORCID,Park Hyunkyu³^ORCID,Serhat Gokhan¹^ORCID,Javot Bernard¹^ORCID,Martius Georg¹^ORCID,Kuchenbecker Katherine J.¹^ORCID

Affiliation:

1. Haptic Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany

2. Autonomous Learning Group, Max Planck Institute for Intelligent Systems, Tübingen, Germany

3. Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

Funder

Max Planck Society in Germany

China Scholarship Council

Max Planck Society

Machine Learning Cluster of Excellence, EXC Number 2064/1

German Federal Ministry of Education and Research (BMBF) through the Tübingen AI Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/10007430/09737320.pdf?arnumber=9737320

Reference40 articles.

1. A pressure mapping imaging device based on electrical impedance tomography of conductive fabrics

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4. Direct measurements of interfacial contact resistance, end contact resistance, and interfacial contact layer uniformity

5. Artificial Sensitive Skin for Robotics Based on Electrical Impedance Tomography

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