Data-driven learning methods for industrial robot stiffness model identification

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作者：
Smart Manufacturing System R&D Department, Korea Institute of Industrial Technology , Korea, Republic of [1 ]
机构：
来源：
Eur. Soc. Precis. Eng. Nanotechnol., Conf. Proc. - Int. Conf. Exhib., EUSPEN | 1600年 / 325-326期
关键词：
Engineering Village;
D O I：
23rd International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2023
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学科分类号：
摘要：
Compensation algorithm - Compliance model - Data driven - Learning methods - Machine-learning - Machining systems - Robotic machining - Robots manipulators - Stiffness modeling - Virtual joints
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