首页|Findings from Southwest University of Science and Technology Provides New Data on Robotics (Research On Dynamic Tracking Method of Assisted Puncture Robot Based On Position Vision)
Findings from Southwest University of Science and Technology Provides New Data on Robotics (Research On Dynamic Tracking Method of Assisted Puncture Robot Based On Position Vision)
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NETL
NSTL
Acta Press
New research on Robotics is the subject of a report. According to news originating from Mianyang, People’s Republic of China, by NewsRx correspondents, research stated, “How to achieve accurate positioning of assisted puncture robot in medical puncture surgery is a key problem. Through the mapping between CT coordinate system, robot coordinate system and visual space coordinate system, the patient’s focus target and puncture needle point are mapped into the robot workspace to realise auxiliary guidance and accurate positioning, and good results are achieved in the static model.” Financial supporters for this research include Innovation Fund of the Engineering Research Center of the Ministry of Education for the Integration and Application of Digital Learning Technologies, Mianyang Science and Technology Bureau Transfer Payment Fund. Our news journalists obtained a quote from the research from the Southwest University of Science and Technology, “In the process of clinical puncture operation, due to the long operation time, the micro motion of the patient’s body will cause the puncture position error, which can’t ensure the accuracy of puncture operation. To solve this problem, this paper studies the dynamic measurement method based on position vision, accurately extracts the mark point coordinates on the patient’s body surface through binocular vision positioning, collects the change difference of the patient’s body micro motion error in real time, and solves the change difference of the puncture path after the patient’s body micro motion, so as to make error compensation in the process of robot puncture positioning, realise error elimination and accurate positioning.”
MianyangPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsSouthwest University of Science and Technology
NETL
NSTL
Acta Press
