Optimization of Flexible Bronchoscopy Shape Sensing Using Fiber Optic Sensors-Reference-Cited by-同舟云学术

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Optimization of Flexible Bronchoscopy Shape Sensing Using Fiber Optic Sensors

Published:2024-05-13 Issue: Volume: Page:7984-7990
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Liu Xinran¹,Chen Hao¹,Liu Hongbin²

Affiliation:

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

2. Professor at Chinese Academy of Sciences, Institute of Automation (CASIA), Executive Director for the Centre of AI and Robotics (CAIR), Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences

Funder

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611502.pdf?arnumber=10611502

Reference26 articles.

1. Cancer statistics, 2020

2. Current Engineering Developments for Robotic Systems in Flexible Endoscopy

3. Towards FBG-Based Shape Sensing and Sensor Drift for a Steerable Needle

4. Image-based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Rendering

5. A robotic flexible endoscope with shared autonomy: a study of mockup cholecystectomy

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