Robotics & Machine Learning Daily News2024,Issue(Nov.11) :30-30.

New Data from Northeast Electric Power University Illuminate Findings in Robotic s (A Novel Real-time Tension Distribution Method for Cable-driven Parallel Robots)

东北电力大学的新数据阐明了Robots(一种新型的缆驱动并联机器人实时张力分配方法)的发现

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :30-30.

New Data from Northeast Electric Power University Illuminate Findings in Robotic s (A Novel Real-time Tension Distribution Method for Cable-driven Parallel Robots)

东北电力大学的新数据阐明了Robots(一种新型的缆驱动并联机器人实时张力分配方法)的发现

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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一项关于机器人的新研究现已问世。根据来自吉林的消息,人民解放军中华民国,由NewsRx Corresp Ondents撰写,研究称,"中国的张力分布问题"。缆索驱动的准绳机器人在实时控制中是不可避免的。目前,迭代算法或几何算法通常用于解决这个问题。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Robotics is now available. Accordi ng to news originating from Jilin, People’sRepublic of China, by NewsRx corresp ondents, research stated, “The tension distribution problem ofcable-driven para llel robots is inevitable in real-time control. Currently, iterative algorithms or geometricalgorithms are commonly used to solve this problem.”

Key words

Jilin/People’s Republic of China/Asia/Algorithms/EmergingTechnologies/Geometric Algorithm/Machine Learning/Nano- robot/Robotics/Northeast Electric Power University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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