Vascular Environment Identification Based on Multi-dimensional Data Fusion for Interventional Surgical Robots-Reference-Cited by-同舟云学术

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Vascular Environment Identification Based on Multi-dimensional Data Fusion for Interventional Surgical Robots

Published:2022-12-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)
language:
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Author:

Yang Dong¹,Wei Wei¹,Li Jiaqian²,Xiao Nan³

Affiliation:

1. School of Optoelectronic Science and Engineering, Soochow University,Jiangsu province,China,215000

2. Suzhou Industrial Park Institute of Vocational Technology,Jiangsu province,China,215000

3. School of Life Science, Beijing Institute of Technology,Beijing,China,10081

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10011626/10011636/10011932.pdf?arnumber=10011932

Reference25 articles.

1. Design and characteristics evaluation of a novel teleoperated robotic catheterization system with force feedback for vascular interventional surgery

2. Integration of Force Reflection with Tactile Sensing for Minimally Invasive Robotics-Assisted Tumor Localization

3. Design and performance evaluation of a haptic interface based on MR fluids for endovascular tele-surgery

4. A Novel Robot-Assisted Endovascular Catheterization System With Haptic Force Feedback

5. Performance evaluation of a robot-assisted catheter operating system with haptic feedback

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