首页|Studies from Royal Melbourne Institute of Technology University Yield New Inform ation about Robotics (Subtractive Manufacturing of Composite Materials With Robo tic Manipulators: a Comprehensive Review)
Studies from Royal Melbourne Institute of Technology University Yield New Inform ation about Robotics (Subtractive Manufacturing of Composite Materials With Robo tic Manipulators: a Comprehensive Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating from Ho Chi Minh, Vietnam, by Ne wsRx correspondents, research stated, "Robotic manipulators play an innovative r ole as a new method for high-precision, large-scale manufacturing of composite c omponents. However, machining composite materials with these systems presents un ique challenges." Financial support for this research came from CAUL. Our news editors obtained a quote from the research from the Royal Melbourne Ins titute of Technology University, "Unlike traditional monolithic materials, compo sites exhibit complex behaviour and inconsistent results during machining. Addit ionally, robotic manipulator as a machine tool often associates with stiffness a nd vibration issues which adds another layer of complexity to this approach. By employing a comprehensive analysis and a combination of quantitative and qualita tive review methodology, this review paper aims to survey diverse properties of composite materials by different categories and their interaction with machining processes. Subsequently, a survey of manufacturing techniques for composite mac hining following with a review in various modeling practices to capture material machining behaviour under a systematic framework is presented. Thereafter, the reviewed literature examines the errors inherent in robotic systems, alongside o ngoing research efforts in modeling to characterise robot behaviour and enhance its performance. Afterward, the paper explores the application of data-driven mo delling methods, with a primary focus on digital twins, in enabling real-time mo nitoring and process optimisation."
Ho Chi MinhVietnamAsiaEmerging Tec hnologiesMachine LearningRoboticsRobotsRoyal Melbourne Institute of Tech nology University
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