Robotics & Machine Learning Daily News2024,Issue(Jun.18) :13-13.

New Robotics Findings from Tsinghua University Described (Multiphysics Coupling Simulation and Design of Magnetic Field-driven Soft Microrobots In Liquid Envir onments)

清华大学机器人学新发现(液体环境中磁场驱动软微型机器人的多物理耦合仿真与设计)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :13-13.

New Robotics Findings from Tsinghua University Described (Multiphysics Coupling Simulation and Design of Magnetic Field-driven Soft Microrobots In Liquid Envir onments)

清华大学机器人学新发现(液体环境中磁场驱动软微型机器人的多物理耦合仿真与设计)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器人的新研究现在开始了。据新华社驻北京记者报道,“磁场驱动的柔性机器人在生物医学、微流控芯片、纳米工程等领域有着广泛的应用,但现有的磁驱动柔性机器人的设计方法大多依赖于实验误差或稳态数值模拟结果。”"不能满足复杂的磁场编辑和磁场分布要求."

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics is now availab le. According to news reporting originating from Beijing, People's Republic of C hina, by NewsRx correspondents, research stated, "Magnetic field-driven soft mic rorobots have widespread applications in biomedical science, microfluidic chips, nanoengineering, and various other domains. However, the existing methods for d esigning such magnetic-driven flexible robots largely rely on experimental trial and error or steady-state numerical simulated results, which fall short of meet ing the intricate requirements for magnetic field editing and magnetic domain di stribution."

Key words

Beijing/People's Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Tsinghu a University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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