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首页> 外文期刊>Robotics & Machine Learning Daily News >Research from Zhejiang University of Technology Provides New Study Findings on Robotics (An Enhanced Positional Error Compensation Method for Rock Drilling Robots Based on LightGBM and RBFN)
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Research from Zhejiang University of Technology Provides New Study Findings on Robotics (An Enhanced Positional Error Compensation Method for Rock Drilling Robots Based on LightGBM and RBFN)

机译:从浙江大学的技术研究提供了新的研究结果对机器人(一个增强的位置误差补偿方法岩石钻孔机器人基于LightGBM和RBFN)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on robotics. According to news originating from Hangzhou, People’s Republic of China, by NewsRx editors, the research stated, “Rock drilling robots are able to greatly reduce labor intensity and improve efficiency and quality in tunnel construction.” Funders for this research include National Natural Science Foundation of China.
机译:机器人技术与新闻记者新闻编辑机器学习日常新闻-每日新闻调查人员发表新的报告机器人。据新闻来自杭州,中华人民共和国NewsRx编辑,研究指出:“岩石钻孔机器人能够大大降低劳动强度改善隧道的效率和质量建设。”中国国家自然科学基金。

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