Robotics & Machine Learning Daily News2024,Issue(Nov.28) :98-99.

Zhejiang University Reports Findings in Robotics (Multi-Objective Safety-Enhance d Path Planning for the Anterior Part of a Flexible Ureteroscope in Robot-Assist ed Surgery)

浙江大学发表机器人学研究成果(多目标)柔性机器人前部安全增强的三维路径规划机器人辅助ed手术中的输尿管镜

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :98-99.

Zhejiang University Reports Findings in Robotics (Multi-Objective Safety-Enhance d Path Planning for the Anterior Part of a Flexible Ureteroscope in Robot-Assist ed Surgery)

浙江大学发表机器人学研究成果(多目标)柔性机器人前部安全增强的三维路径规划机器人辅助ed手术中的输尿管镜

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻——机器人技术的新研究是一项回购计划的主题。中华人民共和国,Ne wsRx记者,研究称,"在机器人辅助的柔性输尿管镜检查中,设计一条安全增强路径,使输尿管镜能安全、快捷地到达靶点。然而,目前的方法很少考虑身体前部运动引起的安全影响,如撞击管腔壁和漏液运动风险,或者该方法只能用于无碰撞情况。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a repo rt. According to news reporting from Hangzhou,People’s Republic of China, by Ne wsRx journalists, research stated, “In robot-assisted flexible ureteroscopy,pla nning a safety-enhanced path facilitates ureteroscope reaching the target safely and quickly. However,current methods rarely consider the safety impact caused by body motion of the anterior part, such asimpingement on the lumen wall and s weeping motion risk, or the method can only be used in collision-freesituations .”

Key words

Hangzhou/People’s Republic of China/As ia/Algorithms/Emerging Technologies/Health and Medicine/Machine Learning/Ro bot/Robotics/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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