Machine Learning Best Practices for Soft Robot Proprioception-Reference-Cited by-同舟云学术

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Machine Learning Best Practices for Soft Robot Proprioception

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
Short-container-title:

Author:

Zhang Annan¹,Wang Tsun-Hsuan¹,Truby Ryan L.²,Chin Lillian¹,Rus Daniela¹

Affiliation:

1. Massachusetts Institute of Technology,MIT Computer Science and Artificial Intelligence Laboratory (CSAIL),Cambridge,MA,USA,02139

2. Northwestern University,Department of Materials Science and Engineering and Mechanical Engineering,Evanston,IL,USA,60208

Funder

National Science Foundation

EFRI

Gwangju Institute of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342379.pdf?arnumber=10342379

Reference32 articles.

1. Design, fabrication and control of soft robots

2. Soft‐Matter Engineering for Soft Robotics

3. Machine Learning for Soft Robotic Sensing and Control

4. Review of machine learning methods in soft robotics

5. Editorial: Machine Learning Techniques for Soft Robots

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