Development of a colon endoscope robot that adjusts its locomotion through the use of reinforcement learning

Gabriele Trovato*, M. Shikanai, G. Ukawa, J. Kinoshita, N. Murai, J. W. Lee, H. Ishii, A. Takanishi, K. Tanoue, S. Ieiri, K. Konishi, M. Hashizume


研究成果: Article査読

23 被引用数 (Scopus)


Purpose Fibre optic colonoscopy is usually performed with manual introduction and advancement of the endoscope, but there is potential for a robot capable of locomoting autonomously from the rectum to the caecum. A prototype robot was designed and tested. Methods The robot colonic endoscope consists in a front body with clockwise helical fin and a rear body with anticlockwise one, both connected via a DC motor. Input voltage is adjusted automatically by the robot, through the use of reinforcement learning, determining speed and direction (forward or backward). Results Experiments were performed both in-vitro and in-vivo, showing the feasibility of the robot. The device is capable of moving in a slippery environment, and reinforcement learning algorithms such as Q-learning and SARSA can obtain better results than simply applying full tension to the robot. Conclusions This self-propelled robotic endoscope has potential as an alternative to current fibre optic colonoscopy examination methods, especially with the addition of new sensors under development.

ジャーナルInternational Journal of Computer Assisted Radiology and Surgery
出版ステータスPublished - 2010 7月

ASJC Scopus subject areas

  • 健康情報学
  • 放射線学、核医学およびイメージング
  • コンピュータ ビジョンおよびパターン認識
  • 外科
  • 生体医工学
  • コンピュータ サイエンスの応用
  • コンピュータ グラフィックスおよびコンピュータ支援設計


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