Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study-Reference-Cited by-同舟云学术

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Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Pore Ameya¹,Finocchiaro Martina²,DallAlba Diego¹,Hernansanz Albert²,Ciuti Gastone³,Arezzo Alberto⁴,Menciassi Arianna³,Casals Alicia²,Fiorini Paolo¹

Affiliation:

1. University of Verona,Department of Computer Science,Italy

2. Univiversitat Politecnica de Catalunya,Department of Enginyeria de Sistemas, Automatica i Informatica Industrial,Barcelona,Spain

3. The BioRobotics Institute, Scuola Superiore Sant'Anna,Pisa,Italy

4. University of Torino,Department of Surgical Sciences,Turin,Italy

Funder

European Union's Horizon 2020 research and innovation programme

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981480.pdf?arnumber=9981480

Reference23 articles.

1. SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

2. How to train your robot with deep reinforcement learning: lessons we have learned

3. Multicamera 3D Viewpoint Adjustment for Robotic Surgery via Deep Reinforcement Learning

4. Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Simulation of manual and automatic navigation of magnetically controlled wireless capsule endoscopy examination of human gastric;Endoscopic Microscopy XIX;2024-03-13

3. A Framework for the Evaluation of Human Machine Interfaces of Robot-Assisted Colonoscopy;IEEE Transactions on Biomedical Engineering;2024-02

4. An End-to-End Learning-Based Control Signal Prediction for Autonomous Robotic Colonoscopy;IEEE Access;2024

5. Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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