Robotics & Machine Learning Daily News2024,Issue(Aug.19) :23-24.

University of Sheffield Reports Findings in Robotics (Decision Makingfor Multi- robot Fixture Planning Using Multi-agent Reinforcement Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.19) :23-24.

University of Sheffield Reports Findings in Robotics (Decision Makingfor Multi- robot Fixture Planning Using Multi-agent Reinforcement Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting originating from Sheffield, U nited Kingdom, by NewsRx correspondents, research stated, “Withinthe realm of f lexible manufacturing, fixture layout planning allows manufacturers to rapidly d eploy optimalfixturing plans that can reduce surface deformation that leads to crack propagation in components duringmanufacturing tasks. The role of fixture layout planning has evolved from being performed by experiencedengineers to com putational methods due to the number of possible configurations for components.”

Key words

Sheffield/United Kingdom/Europe/Emerg ing Technologies/Machine Learning/Reinforcement Learning/Robot/Robotics/Uni versity of Sheffield

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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