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首页> 外文期刊>Network Daily News >Researchers at China University of Mining and Technology Have Reported New Data on Robotics (Error Prediction for a Large Optical Mirror Processing Robot Based On Deep Learning)
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Researchers at China University of Mining and Technology Have Reported New Data on Robotics (Error Prediction for a Large Optical Mirror Processing Robot Based On Deep Learning)

机译:中国采矿与技术大学的研究人员报告了有关机器人技术的新数据(基于深度学习的大型光学镜处理机器人的错误预测)

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摘要

By a News Reporter-Staff News Editor at Network Daily News - A new study on Robotics is now available. According to news reporting originating from Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “Predicting the errors of a large optical mirror processing robot (LOMPR) is very important when studying a feedforward control error compensation strategy to improve the motion accuracy of the LOMPR. Therefore, an end trajectory error prediction model of a LOMPR based on a Bayesian optimized long short-term memory (BO-LSTM) was established.” Financial supporters for this research include Priority Academic Program Development of Jiangsu Higher Education Institutions, National Key R&D Program of China.
机译:由Network Daily News的新闻记者播放器新闻编辑编辑 - 现在可以提供一项有关机器人技术的新研究。 根据NewsRX通讯员的中国人民共和国的新闻报道,研究人员指出:“在研究Feelforward控制错误补偿策略以提高运动精度时,预测大型光学镜处理机器人(LOMPR)的错误非常重要 lompr。 因此,建立了基于贝叶斯优化的长期记忆(BO-LSTM)的LOMPR的最终轨迹误差预测模型。” 这项研究的财务支持者包括江苏高等教育机构,中国国家密钥研发计划的优先学术计划发展。

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