Robotics & Machine Learning Daily News2024,Issue(Jul.1) :44-44.

Studies from North China University of Water Resources and Electric Power Have P rovided New Data on Robotics (The Design of Decoupled Robotic Arm Based on Chain Transmission)

华北水利电力大学的研究为机器人学(基于链传动的解耦机械臂设计)提供了新的数据

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :44-44.

Studies from North China University of Water Resources and Electric Power Have P rovided New Data on Robotics (The Design of Decoupled Robotic Arm Based on Chain Transmission)

华北水利电力大学的研究为机器人学(基于链传动的解耦机械臂设计)提供了新的数据

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-机器人的研究发现被用在一份新的报告中。根据《中国人民日报》郑州外的新闻报道,NewsRx编辑的研究表明:“与传统的机器人手臂不同,机器人手臂的关节是相互耦合的,本文提出了一种运动和姿态解耦的方法,通过双运动传动实现机器人手臂末端位置的实时机械校正。”它既是Moto R-减速器驱动的,也是链条驱动的;当机器人A RM末端的位置发生变化时,每个铰接臂末端的位置连接不受影响。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news reporting out of Zhengzhou, People’s Re public of China, by NewsRx editors, research stated, “Unlike the conventional ro botic arm where the joints are coupled to each other, this paper proposes a posi tion and posture decoupling method to mechanically correct the end position of t he robotic arm in real time through dual-motion transmission, which is both moto r-reducer-driven and chain-driven; when the position of the end of the robotic a rm changes, the positional linkage of each articulated arm end is unaffected.”

Key words

North China University of Water Resource s and Electric Power/Zhengzhou/People's Republic of China/Asia/Emerging Tech nologies/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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