Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 15, issue 1
Articles | Volume 15, issue 1
https://doi.org/10.5194/ms-15-367-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-15-367-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 1
Research article
 | 
28 May 2024
Research article |  | 28 May 2024

Gravity compensation and output data decoupling of a novel six-dimensional force sensor

Yongli Wang, Ke Jin, Xiao Li, Feifan Cao, and Xuan Yu

Viewed

Total article views: 1,131 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
832 263 36 1,131 50 89
  • HTML: 832
  • PDF: 263
  • XML: 36
  • Total: 1,131
  • BibTeX: 50
  • EndNote: 89
Views and downloads (calculated since 28 May 2024)
Cumulative views and downloads (calculated since 28 May 2024)

Viewed (geographical distribution)

Total article views: 1,107 (including HTML, PDF, and XML) Thereof 1,107 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Nov 2025
Download
Short summary
A new type of parallel six-dimensional force sensor was developed, and artificial neural network technology was used to achieve decoupling of the sensor output data. In addition, a gravity compensation method based on CAD variable geometry is proposed to optimize the performance of the six-dimensional force sensor.
Read more
Share