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Modeling of a joint-type flexible endoscope based on elastic deformation and internal friction

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单位: [1]State Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, People’s Republic of China [2]Shenyang Institute of Automation, University of Chinese Academy of Sciences, Beijing, People’s Republic of China [3]Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, People’s Republic of China [4]Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, People’s Republic of China [5]Department of Advanced Robotics, Chiba Institute of Technology, Narashino, Chiba, Japan [6]Department of General Surgery, Beijing Friendship Hospital Capital Medical University, Beijing, People’s Republic of China
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关键词: Robotic surgery joint-type endoscope bending model internal friction force cable-driven

摘要:
Flexible endoscopes are widely used in minimally invasive surgical robot systems. Various kinematic models have been developed for describing the deformation of such endoscopes. For joint-type flexible endoscopes, most existing models neglect the effect of internal friction and cannot precisely show the shape. In this paper, we propose a new nonlinear bending model. The rubber tube and metal net at each joint are approximated as a tube under elastic deformation and are assigned an equivalent bending stiffness. The internal friction force is also taken into account to build the moment balance equation at each joint. Groups of experiments were performed to validate the nonlinear model. The results closely confirm the model's predictions. The model's tip position error during the bending and unbending phases are 1.48 +/- 0.99 mm and 1.68 +/- 0.91 mm respectively; the bending angle errors are -5.50 +/- 2.54 degrees and 1.68 +/- 3.66 degrees, respectively The model can also take account of the hysteresis effect of the bending, which is quite common for cable-driven flexible robots. Moreover, the model has good computational efficiency, making it suitable for real-time control.

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出版当年[2018]版:
大类 | 4 区 工程技术
小类 | 4 区 机器人学
最新[2025]版:
大类 | 4 区 计算机科学
小类 | 4 区 机器人学
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出版当年[2017]版:
Q4 ROBOTICS
最新[2023]版:
Q4 ROBOTICS

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2017版] 出版当年五年平均[2013-2017] 出版前一年[2016版] 出版后一年[2018版]

第一作者:
第一作者单位: [1]State Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, People’s Republic of China [2]Shenyang Institute of Automation, University of Chinese Academy of Sciences, Beijing, People’s Republic of China [3]Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, People’s Republic of China [4]Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, People’s Republic of China
通讯作者:
通讯机构: [1]State Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, People’s Republic of China [3]Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, People’s Republic of China [4]Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, People’s Republic of China [*1]State Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang 110016, People’s Republic of China. Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, People’s Republic of China.Key Laboratory of Minimally Invasive Surgical Robot, Shenyang, Liaoning Province 110016, People’s Republic of China
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