Robotics & Machine Learning Daily News2024,Issue(Nov.20) :75-76.

Reports from Federal University of Santa Catarina Describe Recent Advances in Ro botics (Design of a Fast Robotic Total Station Through Ad Hoc Virtual Experiment s and Its Digital Twin)

圣卡塔琳娜联邦大学的报告描述了机器人技术的最新进展(通过特设虚拟实验设计快速机器人全站仪及其数字双胞胎)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :75-76.

Reports from Federal University of Santa Catarina Describe Recent Advances in Ro botics (Design of a Fast Robotic Total Station Through Ad Hoc Virtual Experiment s and Its Digital Twin)

圣卡塔琳娜联邦大学的报告描述了机器人技术的最新进展(通过特设虚拟实验设计快速机器人全站仪及其数字双胞胎)

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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-研究人员在机器人s中详细介绍了新的数据。根据弗罗里亚诺波利斯的新闻报道,巴西,NewsRx编辑,研究称,“创新机器人的动态性能”在对运动目标进行跟踪时,对总站(RTS)进行了评估,并给出了这些性能的结果评估被用来设计其控制系统。

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 out of Florianopolis,Brazil, by NewsRx editors, research stated, “The dynamic performances of an innovative robotictotal statio n (RTS) are assessed while tracking a moving target; also, the results of these performanceevaluations are exploited to design its control system.”

Key words

Federal University of Santa Catarina/Fl orianopolis/Brazil/South America/Emerging Technologies/Machine Learning/Rob otics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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