首页|Researcher at Shanghai Jiao Tong University Discusses Research in Robotics (Opti mization of Redundant Degrees of Freedom in Robotic Flat-End Milling Based on Dy namic Response)
Researcher at Shanghai Jiao Tong University Discusses Research in Robotics (Opti mization of Redundant Degrees of Freedom in Robotic Flat-End Milling Based on Dy namic Response)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on robotics is the subjec t of a new report. According to news reporting out of Shanghai, People's Republi c of China, by NewsRx editors, research stated, "With the advantages of large wo rking space, low cost and more flexibility, industrial robots have become an imp ortant carrier in intelligent manufacturing." Financial supporters for this research include China Postdoctoral Science Founda tion; National Key Research And Development Program of China For Robotics Serial ized Harmonic Reducer Fatigue Performance Analysis And Prediction And Life Enhan cement Technology Research. Our news editors obtained a quote from the research from Shanghai Jiao Tong Univ ersity: "Due to the low rigidity of robotic milling systems, cutting vibrations are inevitable and have a significant impact on surface quality and machining ac curacy. To improve the machining performance of the robot, a posture optimizatio n approach based on the dynamic response index is proposed, which combines postu redependent dynamic characteristics with surface quality for robotic milling. F irst, modal tests are conducted at sampled points to estimate the posture-depend ent dynamic parameters of the robotic milling system. The modal parameters at th e unsampled points are further predicted using the inverse distance weighted met hod. By combining posture-independent modal parameters with calibrating the cutt ing forces, a dynamic model of a robotic milling system is established and solve d with a semi-discretization method."
Shanghai Jiao Tong UniversityShanghaiPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobo ticsRobots
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