Robotics & Machine Learning Daily News2024,Issue(Dec.2) :179-180.

Investigators from Chongqing University Target Robotics (Multidomain Neural Proc ess Model Based On Source Attention for Industrial Robot Anomaly Detection)

重庆大学目标机器人研究人员(工业机器人异常检测中基于源注意的多域神经过程模型)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :179-180.

Investigators from Chongqing University Target Robotics (Multidomain Neural Proc ess Model Based On Source Attention for Industrial Robot Anomaly Detection)

重庆大学目标机器人研究人员(工业机器人异常检测中基于源注意的多域神经过程模型)

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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。据重庆的新闻报道,中华人民共和国,由NewsRx编辑,研究称,“工业机器人是至关重要的智能现代工业设备。定期维护,成本高昂,无法预防意外故障是降低故障概率和延长其使用寿命所必需的。

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 Chongqing,People’s Republic of China, by NewsRx editors, research stated, “Industrial robots are vital intelligentequipm ent in modern industries. Periodic maintenance, which is costly and cannot preve nt unexpectedfailures, is necessary to reduce the probability of failure and ex tend their service life.”

Key words

Chongqing/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Chong qing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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