Robotics & Machine Learning Daily News2024,Issue(Dec.5) :154-154.

Study Findings from Minnan Normal University Update Knowledge in Robotics (Impul sive tracking synchronization control of networked robotic manipulator systems I n the task space)

闽南师范大学机器人知识更新研究(任务空间网络化机器人系统的冲击跟踪同步控制)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :154-154.

Study Findings from Minnan Normal University Update Knowledge in Robotics (Impul sive tracking synchronization control of networked robotic manipulator systems I n the task space)

闽南师范大学机器人知识更新研究(任务空间网络化机器人系统的冲击跟踪同步控制)

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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每日新闻-研究人员用机器人S详细介绍了新数据。来自中华人民共和国漳州,由NewsRx记者报道,研究称:“这项研究网络化机械臂系统的运动跟踪同步控制研究基于拉格朗日系统。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in robotic s. According to news reporting originatingfrom Zhangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “This studyinvestigates the i mpulsive tracking synchronization control of networked robotic manipulator syste msbased on Lagrangian systems.”

Key words

Minnan Normal University/Zhangzhou/Peo ple’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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