Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-593-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-593-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
Research article
 | 
28 Jun 2022
Research article |  | 28 Jun 2022

Automatic adjustment of laparoscopic pose using deep reinforcement learning

Lingtao Yu, Yongqiang Xia, Pengcheng Wang, and Lining Sun

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Short summary
We designed a motion controller through deep reinforcement learning. The laparoscopic visual field image is input to the controller, and the controller outputs the joint motion of the laparoscopic arm to adjust the visual field. During the movement of the surgical instrument in different trajectories, the controller keeps the surgical instrument in an appropriate position in the visual field. It proves that the method is widely effective and can meet the needs of doctors during surgery.
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