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

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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.
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