Robotics & Machine Learning Daily News2024,Issue(Jul.10) :39-39.

Findings in the Area of Robotics Reported from Chang’an University (Analytical M odeling Method for Joint Friction In Harmonic Drive Robot)

Robotics & Machine Learning Daily News2024,Issue(Jul.10) :39-39.

Findings in the Area of Robotics Reported from Chang’an University (Analytical M odeling Method for Joint Friction In Harmonic Drive Robot)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingfrom Xi’an, People’s Republic of Chin a, by NewsRx journalists, research stated, “Traditional methods forcharacterizi ng friction in mechanical systems can be challenging, and the fitting accuracy o ften provesunsatisfactory. In contrast to conventional friction identification and numerical fitting approaches, weexplore friction by analytically determinin g the normal forces emerging at contact surfaces.”

Key words

Xi’an/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Chang’an University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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