首页|University of Sheffield Reports Findings in Robotics (Decision Makingfor Multi- robot Fixture Planning Using Multi-agent Reinforcement Learning)
University of Sheffield Reports Findings in Robotics (Decision Makingfor Multi- robot Fixture Planning Using Multi-agent Reinforcement Learning)
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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.”
SheffieldUnited KingdomEuropeEmerg ing TechnologiesMachine LearningReinforcement LearningRobotRoboticsUni versity of Sheffield
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