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Development of a Gripper with Variable Stiffness for a CT-Guided Needle Insertion Robot
Author(s) -
Kento Yokouchi,
Tetsushi Kamegawa,
Takayuki Matsuno,
Takao Hiraki,
Takuya Yamaguchi,
Akio Gofuku
Publication year - 2020
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2020.p0692
Subject(s) - computed tomography , stiffness , robot , computer science , variable (mathematics) , medical physics , artificial intelligence , biomedical engineering , radiology , computer vision , medicine , engineering , mathematics , structural engineering , mathematical analysis
In recent years, interventional radiology (IR) as a medical procedure has attracted considerable attention. Among the various IR techniques, computed tomography (CT)-guided IR is performed by inserting a specific needle into a lesion under CT guidance, leading to this medical procedure being less invasive. However, as the procedure requires the doctor to be positioned near the CT, radiation exposure may be a major concern. To overcome this problem, we developed a remote-controlled robotic system for needle insertion during CT-guided interventional procedures. The current needle holder for the robot is risky in that it might hurt a patient since a needle is always held firmly even when the patient moves. To solve this problem, we designed and fabricated a gripper with variable stiffness through jamming transition. Subsequently, we conducted experiments to investigate the effect of elements constituting the gripper to improve its performance.

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