Active constrained motion control for a robot-assisted endoscope manipulator in pediatric minimal access surgery.


Journal

Journal of robotic surgery
ISSN: 1863-2491
Titre abrégé: J Robot Surg
Pays: England
ID NLM: 101300401

Informations de publication

Date de publication:
24 Oct 2024
Historique:
received: 10 07 2024
accepted: 05 10 2024
medline: 24 10 2024
pubmed: 24 10 2024
entrez: 23 10 2024
Statut: epublish

Résumé

Robot-assisted laparoscopic surgery has three main system requirements: safety, simplicity, and intuitiveness. However, accidental movement of the endoscope due to body fatigue and misunderstanding of the verbal orders between the surgeon and assistant will contribute to highly unexpected tool-tissue interactions, particularly in pediatric minimal access surgery with restricted working space. This study introduces a compact, lightweight endoscope manipulator with a mechanical remote-center-motion function. Using a custom-designed human-machine interface, the surgeon can intuitively control the movement of the endoscope manipulator over their view. In addition, an active constrained motion control algorithm is proposed to generate a forbidden-region constraint for avoiding collisions between the endoscope tip and surrounding organs in a pediatric abdominal cavity with restricted space. Simulations and experiments demonstrate the performance of the proposed compact endoscope manipulator and the active constrained surface tracking control scheme.

Identifiants

pubmed: 39443406
doi: 10.1007/s11701-024-02132-0
pii: 10.1007/s11701-024-02132-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

378

Subventions

Organisme : Project of Zhongshan Hospital Smart Medical under Grant
ID : 2020ZHZS27
Organisme : the Projects of the Shanghai Science and Technology Committee
ID : 21S31906100

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

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Auteurs

Hongbing Li (H)

Department of Instrument Science and Engineering, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instrument, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China. lihongbing@sjtu.edu.cn.

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