Robotics & Machine Learning Daily News2024,Issue(Dec.2) :170-170.

Investigators from Dalian University of Technology Target Robotics (A Novel Meth od To Enhance the Accuracy of Parameter Identification In Elasto-geometrical Cal ibration for Industrial Robots)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :170-170.

Investigators from Dalian University of Technology Target Robotics (A Novel Meth od To Enhance the Accuracy of Parameter Identification In Elasto-geometrical Cal ibration for Industrial Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics. According to news reporting originatingin Dalian, People’s Republic o f China, by NewsRx journalists, research stated, “Elasto-geometricalcalibration is crucial for enhancing the absolute accuracy of robots in machining operation s through theidentification and compensation of parameter errors. However, the presence of inconsistent measurementunits and improper selection of measuring p oses can result in the ill-conditioned identification matrix(ICIM) issue, conse quently impacting the accuracy of parameter identification.”

Key words

Dalian/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Dalian Universi ty of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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