Robotics & Machine Learning Daily News2024,Issue(Jun.28) :3-3.

Harbin Engineering University Researcher Adds New Study Findings to Research in Robotics (Image-Based Visual Servoing for Three Degree-of-Freedom Robotic Arm wi th Actuator Faults)

哈尔滨工程大学研究员在机器人学研究中增加了新的研究成果(基于图像的三自由度机械臂执行器故障视觉伺服)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :3-3.

Harbin Engineering University Researcher Adds New Study Findings to Research in Robotics (Image-Based Visual Servoing for Three Degree-of-Freedom Robotic Arm wi th Actuator Faults)

哈尔滨工程大学研究员在机器人学研究中增加了新的研究成果(基于图像的三自由度机械臂执行器故障视觉伺服)

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摘要

由一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-机器人的新研究是一份新报告的主旨。根据NewsRx编辑来自中华人民共和国哈尔滨的新闻,该研究指出,"本研究提出了一种新的基于I Mage的视觉伺服容错控制策略,旨在确保视觉伺服任务的成功完成,尽管存在机器人手臂执行器故障。"本研究的资金支持包括基础强化计划技术领域基金。本报记者引用哈尔滨工程大学的一篇研究报道:“首先,建立了一个深度无关的基于图像的视觉伺服模型,以减轻摄像机参数不准确和信息缺失对系统的影响;其次,建立了同时考虑乘法和加法动作或故障的机械臂动力学模型,然后,考虑了模型不确定性、未知扰动、未知扰动、视觉伺服并将耦合执行器故障合并为集中不确定性,设计了迭代学习故障观测器对其进行估计。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subjec t of a new report. According to news originating from Harbin, People’s Republic of China, by NewsRx editors, the research stated, “This study presents a novel i mage-based visual servoing fault-tolerant control strategy aimed at ensuring the successful completion of visual servoing tasks despite the presence of robotic arm actuator faults.” Financial supporters for this research include Fundamental Strengthening Program Technical Field Fund. Our news reporters obtained a quote from the research from Harbin Engineering Un iversity: “Initially, a depth-independent image-based visual servoing model is e stablished to mitigate the effects of inaccurate camera parameters and missing d epth information on the system. Additionally, a robotic arm dynamic model is con structed, which simultaneously considers both multiplicative and additive actuat or faults. Subsequently, model uncertainties, unknown disturbances, and coupled actuator faults are consolidated as centralized uncertainties, and an iterative learning fault observer is designed to estimate them.”

Key words

Harbin Engineering University/Harbin/P eople’s Republic of China/Asia/Emerging Technologies/Machine Learning/Roboti cs/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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