Articles | Volume 13, issue 1
Mech. Sci., 13, 593–602, 2022
https://doi.org/10.5194/ms-13-593-2022
Mech. Sci., 13, 593–602, 2022
https://doi.org/10.5194/ms-13-593-2022
Research article
28 Jun 2022
Research article | 28 Jun 2022

Automatic adjustment of laparoscopic pose using deep reinforcement learning

Lingtao Yu et al.

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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.