Robotics & Machine Learning Daily News2024,Issue(Feb.1) :15-17.DOI:10.3390/sym16010131

Research Results from Faculty of Mechanical Engineering Update Knowledge of Robotics (Force and Pressure Dependent Asymmetric Workspace Research of a Collaborative Robot and Human)

Robotics & Machine Learning Daily News2024,Issue(Feb.1) :15-17.DOI:10.3390/sym16010131

Research Results from Faculty of Mechanical Engineering Update Knowledge of Robotics (Force and Pressure Dependent Asymmetric Workspace Research of a Collaborative Robot and Human)

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Abstract

Investigators publish new report on robotics. According to news originating from the Faculty of Mechanical Engineering by NewsRx correspondents, research stated, “This article discusses creating a methodology for the asymmetric measuring of values and processes of collision forces and pressures of the collaborative robot dependent on time. Furthermore, it verifies the usefulness of this methodology in practice by successfully performing the experimental measurement and verifying the possibility of using these results by analysing and stating the collaboration level for a robot of the given type. According to the suggested methodology, the measurement results are a specific output based on real measured data, which can be easily rated and can quickly determine the collaborative level of any robot.”

Key words

Faculty of Mechanical Engineering/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Software

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量24
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