Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation
Author:
Affiliation:
1. University of Verona,Department of Computer Science,Italy
2. Research Centre for Biomedical Engineering (CREB), Technical University of Catalonia (UPC),Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341789.pdf?arnumber=10341789
Reference22 articles.
1. Endorobots for Colonoscopy: Design Challenges and Available Technologies
2. Enabling the future of colonoscopy with intelligent and autonomous magnetic manipulation
3. Autonomous Navigation for Robot-Assisted Intraluminal and Endovascular Procedures: A Systematic Review
4. Autonomous Localization, Navigation and Haustral Fold Detection for Robotic Endoscopy
5. A Real-Time State Dependent Region Estimator for Autonomous Endoscope Navigation
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