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Interventional Status Awareness Based Manipulating Strategy for Robotic Soft Endoscopy
Author(s) -
Wei Jiang,
Yuanyuan Zhou,
Tao Yu,
Xin He,
Lihua Peng,
Yunsheng Yang,
Zhidong Wang,
Hao Liu
Publication year - 2019
Publication title -
international journal of robotics and automation technology
Language(s) - English
Resource type - Journals
ISSN - 2409-9694
DOI - 10.31875/2409-9694.2019.06.1
Subject(s) - endoscope , endoscopy , imaging phantom , computer vision , situation awareness , artificial intelligence , medical physics , computer science , simulation , surgery , medicine , radiology , engineering , aerospace engineering
Traditional soft endoscopy is operated with naked eyes and use of hands. Robotic soft endoscopy frees the hands of endoscopists, which reduces the labor-intensity and complexity of operation and improves the operational accuracy of endoscope, but it’s hardly to be reliably performed because the operator lacks of situational awareness of endoscopic interventional status when the hands are detached from the endoscope. This paper first presents a method to perceive the interventional status of endoscope based on image processing, the interventional status includes insertion length and velocity. A manipulating strategy was designed according to the perceived endoscope interventional status and construction parameters of dual robotic arms in order to achieve reliable interventional endoscopy. Human phantom experiments are carried out to verify the effectiveness and feasibility of the proposed interventional status awareness method and manipulating strategy. The results show that the robotic soft endoscopy can be well performed with the ability of interventional status awareness and coordinated manipulation of dual arms. The perceived insertion length indicates the position of the tip of endoscope in human body and the designed manipulating strategy is effective in endoscopic shape retention and torque transmission.

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