Robotics & Machine Learning Daily News2024,Issue(Dec.4) :181-182.

Xi’an University of Science and Technology Researchers Report Recent Findings in Robotics (Scheme evaluation method of coal gangue sorting robot system with tim e-varying multi-scenario based on deep learning)

西安科技大学研究人员报告机器人技术最新成果(基于深度学习的变时变多场景煤矸石分选机器人系统方案评价方法)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :181-182.

Xi’an University of Science and Technology Researchers Report Recent Findings in Robotics (Scheme evaluation method of coal gangue sorting robot system with tim e-varying multi-scenario based on deep learning)

西安科技大学研究人员报告机器人技术最新成果(基于深度学习的变时变多场景煤矸石分选机器人系统方案评价方法)

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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-调查人员发布关于机器人的新报道。根据新闻报道西安科技大学由NewsRx编辑、研究称,“快速进步”人工智能和机器人技术的发展推动了煤矸石的提出和创新分拣机器人系统(CGSRS)范例。时变原煤流(TVRCF)多场景多充分的工作条件会影响煤矸石队列。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ro botics. According to news reporting out ofXi’an University of Science and Techn ology by NewsRx editors, research stated, “The rapid advancementof artificial i ntelligence and robot technology has spurred the proposal and innovation of a co al ganguesorting robot system (CGSRS) paradigm. The time-varying raw coal flow (TVRCF) with multi-scene andfull working conditions affects the gangue queue.”

Key words

Xi’an University of Science and Technolo gy/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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