Electronic skins and machine learning for intelligent soft robots-Reference-Cited by-同舟云学术

Electronic skins and machine learning for intelligent soft robots

Published:2020-04-15 Issue:41 Volume:5 Page:
ISSN:2470-9476
Container-title:Science Robotics
language:en
Short-container-title:Sci. Robot.

Author:

Shih Benjamin¹^ORCID,Shah Dylan²^ORCID,Li Jinxing³,Thuruthel Thomas G.⁴,Park Yong-Lae⁵^ORCID,Iida Fumiya⁴^ORCID,Bao Zhenan³^ORCID,Kramer-Bottiglio Rebecca²^ORCID,Tolley Michael T.¹^ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA.

2. Department of Mechanical Engineering and Materials Science, Yale University, CT, USA.

3. Departments of Chemical Engineering and Material Science and Engineering, Stanford University, CA, USA.

4. Department of Engineering, University of Cambridge, UK.

5. Department of Mechanical and Aerospace Engineering, Seoul National University, South Korea.

Abstract

Developments in e-skins and machine learning may achieve tactile sensing and proprioception for autonomous, deployable soft robots.

Funder

Office of Naval Research

NASA Space Technology Research Fellowship

Future and Emerging Technologies (FET) programme of the European Commission

Air Force Office Scientific Research Materials Chemistry Program

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference129 articles.

1. Design, fabrication and control of soft robots

2. Electronic skin: architecture and components

3. J. Case M. Yuen M. Mohammed R. Kramer Sensor skins: An overview in Stretchable Bioelectronics for Medical Devices and Systems (Springer 2016) pp. 173–191.

4. Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review

5. New materials and advances in making electronic skin for interactive robots

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