An End-to-End Learning-Based Control Signal Prediction for Autonomous Robotic Colonoscopy

An End-to-End Learning-Based Control Signal Prediction for Autonomous Robotic Colonoscopy

We introduce a novel 3 degrees-of-freedom based robotic colonoscopy system that performs the necessary movements for colonoscopy while working within the movement range of a flexible colonoscope (FC). In addition, we have developed deep learning models to generate motor control signals directly from...

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Bibliographic Details
Main Authors: Van Sy Nguyen, Bohyun Hwang, Byungkyu Kim, Jay Hoon Jung
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Autonomous system
deep learning
robotic colonoscopy
visual servo control
Online Access:https://ieeexplore.ieee.org/document/10348567/

Internet

https://ieeexplore.ieee.org/document/10348567/

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