Doctor Avoidance and Impedance Control of an Endoscope Robot

碩士 === 國立臺灣大學 === 機械工程學研究所 === 104 === Endoscopic minimally invasive surgery robot has been widely used in the medical field which expands the doctor’s surgical capacity, improves the quality of surgery, reduces the suffering of patients, shortens the cure time and reduces the patients’ cost. Consid...

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Main Authors: You-Ting Liao, 廖友廷
Other Authors: Jia-Yush Yen
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/01037948777632221968
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spelling ndltd-TW-104NTU054891502017-04-29T04:31:56Z http://ndltd.ncl.edu.tw/handle/01037948777632221968 Doctor Avoidance and Impedance Control of an Endoscope Robot 內視鏡機器人阻抗教導控制與醫生避障系統 You-Ting Liao 廖友廷 碩士 國立臺灣大學 機械工程學研究所 104 Endoscopic minimally invasive surgery robot has been widely used in the medical field which expands the doctor’s surgical capacity, improves the quality of surgery, reduces the suffering of patients, shortens the cure time and reduces the patients’ cost. Considering of combining the advantages of endoscopic minimally invasive surgical robot and experience of a surgeon, it applies the minimally invasive surgery technology into precision surgery areas and then enlarge the application areas of the minimally invasive surgery. The main purpose of this thesis is to design a force controller to accomplish the obstacle avoidance and drag teaching. First of all, we derive the kinematics and dynamic models of the MIS endoscopic manipulator from Robotic Kinematic Control and plan hourglass trajectory during the MIS surgery. We also teach robot how to aim at hole on the abdomen. By impedance control, the manipulator can comply with surgical environment. We can construct drag teaching by mass-damper dynamic model and let doctors safely operate the endoscope with several teaching mode such as the fixed-position mode and the fixed-orientation mode. Finally, we use 6-DOF manipulator and six-axis force sensor to test and verify the proposed algorithm. Jia-Yush Yen 顏家鈺 2016 學位論文 ; thesis 86 zh-TW
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description 碩士 === 國立臺灣大學 === 機械工程學研究所 === 104 === Endoscopic minimally invasive surgery robot has been widely used in the medical field which expands the doctor’s surgical capacity, improves the quality of surgery, reduces the suffering of patients, shortens the cure time and reduces the patients’ cost. Considering of combining the advantages of endoscopic minimally invasive surgical robot and experience of a surgeon, it applies the minimally invasive surgery technology into precision surgery areas and then enlarge the application areas of the minimally invasive surgery. The main purpose of this thesis is to design a force controller to accomplish the obstacle avoidance and drag teaching. First of all, we derive the kinematics and dynamic models of the MIS endoscopic manipulator from Robotic Kinematic Control and plan hourglass trajectory during the MIS surgery. We also teach robot how to aim at hole on the abdomen. By impedance control, the manipulator can comply with surgical environment. We can construct drag teaching by mass-damper dynamic model and let doctors safely operate the endoscope with several teaching mode such as the fixed-position mode and the fixed-orientation mode. Finally, we use 6-DOF manipulator and six-axis force sensor to test and verify the proposed algorithm.
author2 Jia-Yush Yen
author_facet Jia-Yush Yen
You-Ting Liao
廖友廷
author You-Ting Liao
廖友廷
spellingShingle You-Ting Liao
廖友廷
Doctor Avoidance and Impedance Control of an Endoscope Robot
author_sort You-Ting Liao
title Doctor Avoidance and Impedance Control of an Endoscope Robot
title_short Doctor Avoidance and Impedance Control of an Endoscope Robot
title_full Doctor Avoidance and Impedance Control of an Endoscope Robot
title_fullStr Doctor Avoidance and Impedance Control of an Endoscope Robot
title_full_unstemmed Doctor Avoidance and Impedance Control of an Endoscope Robot
title_sort doctor avoidance and impedance control of an endoscope robot
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/01037948777632221968
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