Robotics & Machine Learning Daily News2024,Issue(Nov.1) :52-53.

Studies from RWTH Aachen University Yield New Information about Robotics (Enhanc ing Robotic Steel Prefabrication With Semantic Digital Twins Driven By Establish ed Industry Standards)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :52-53.

Studies from RWTH Aachen University Yield New Information about Robotics (Enhanc ing Robotic Steel Prefabrication With Semantic Digital Twins Driven By Establish ed Industry Standards)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting out of Aachen, Germany, by NewsRx editors, resear ch stated, “To increase automation in steel construction, new approaches are nee ded to strengthen the robustness of robotic steel prefabrication processes again st manufacturing tolerances. While Digital Twins (DTs) can enable the detection of deviations and the adaptation of machine control accordingly, an adaptive inf ormation model interface that can integrate cross-process and cross-machine cons iderations is missing.”

Key words

Aachen/Germany/Europe/Emerging Techno logies/Machine Learning/Robotics/Robots/RWTH Aachen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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