Stereo Visual Servoing Control of a Soft Endoscope for Upper Gastrointestinal Endoscopic Submucosal Dissection

Author:

Chen Jian123ORCID,Wang Shuai3,Zhao Qingxiang3,Huang Wei3,Chen Mingcong4,Hu Jian23,Wang Yihe3,Liu Hongbin235

Affiliation:

1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China

2. Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

3. Centre of AI and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong

4. Department of Biomedical Engineering, City University of Hong Kong, Hong Kong

5. School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EU, UK

Abstract

Quickly and accurately completing endoscopic submucosal dissection (ESD) operations within narrow lumens is currently challenging because of the environment’s high flexibility, invisible collision, and natural tissue motion. This paper proposes a novel stereo visual servoing control for a dual-segment robotic endoscope (DSRE) for ESD surgery. Departing from conventional monocular-based methods, our DSRE leverages stereoscopic imaging to rapidly extract precise depth data, enabling quicker controller convergence and enhanced surgical accuracy. The system’s dual-segment configuration enables agile maneuverability around lesions, while its compliant structure ensures adaptability within the surgical environment. The implemented stereo visual servo controller uses image features for real-time feedback and dynamically updates gain coefficients, facilitating rapid convergence to the target. In visual servoing experiments, the controller demonstrated strong performance across various tasks. Even when subjected to unknown external forces, the controller maintained robust performance in target tracking. The feasibility and effectiveness of the DSRE were further verified through ex vivo experiments. We posit that this novel system holds significant potential for clinical application in ESD surgeries.

Funder

Sichuan Science and Technology Program

Publisher

MDPI AG

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