Robotics & Machine Learning Daily News2024,Issue(Dec.5) :105-106.

Research Data from University of Illinois Update Understanding of Androids (Onli ne Learning-based Inertial Parameter Identification of Unknown Object for Model- based Control of Wheeled Humanoids)

伊利诺伊大学的研究数据更新了对机器人的理解(轮式仿人机器人基于模型控制的基于学习的未知对象惯性参数识别)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :105-106.

Research Data from University of Illinois Update Understanding of Androids (Onli ne Learning-based Inertial Parameter Identification of Unknown Object for Model- based Control of Wheeled Humanoids)

伊利诺伊大学的研究数据更新了对机器人的理解(轮式仿人机器人基于模型控制的基于学习的未知对象惯性参数识别)

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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-研究人员详细介绍了机器人s-android的新数据.根据新闻报道伊利诺伊州香槟,NewsRx编辑,研究称,“识别被操纵物体的动态特性”目标是机器人安全准确控制的关键。大多数方法依赖于低噪声力-力矩传感器,长激励信号,解决非线性优化问题,使估计过程慢点

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s - Androids. According to news reporting out ofChampaign, Illinois, by NewsRx editors, research stated, “Identifying the dynamic properties of manipulatedobj ects is essential for safe and accurate robot control. Most methods rely on low- noise force-torquesensors, long exciting signals, and solving nonlinear optimiz ation problems, making the estimation processslow.”

Key words

Champaign/Illinois/United States/Nort h and Central America/Androids/Emerging Technologies/Machine Learning/Robot/Robotics/University of Illinois

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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