Hybrid Data-Driven Optimization Design of a Layered Six-Dimensional FBG Force/Moment Sensor With Gravity Self-Compensation for Orthopedic Surgery Robot-Reference-Cited by-同舟云学术

Hybrid Data-Driven Optimization Design of a Layered Six-Dimensional FBG Force/Moment Sensor With Gravity Self-Compensation for Orthopedic Surgery Robot

Published:2023-08 Issue:8 Volume:70 Page:8568-8579
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Li Tianliang¹^ORCID,Chen Fayin¹^ORCID,Zhao Zebin¹,Pei Qingfeng¹^ORCID,Tan Yuegang¹^ORCID,Zhou Zude¹^ORCID

Affiliation:

1. School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Key R&D Program of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/10075413/10002415.pdf?arnumber=10002415

Reference42 articles.

1. Decoupled Six-Axis Force–Moment Sensor with a Novel Strain Gauge Arrangement and Error Reduction Techniques

2. Design of a Wireless Six-Axis Wrist Force Sensor for Teleoperation Robots

3. Handheld surgical drill with integrated thrust force recognition

4. Performance analysis and comprehensive index optimization of a new configuration of Stewart six-component force sensor

5. Novel Mechanically Fully Decoupled Six-Axis Force-Moment Sensor

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