首页|New Robotics Data Have Been Reported by Investigators at Huazhong University of Science and Technology (Tool Path Correction for Robotic Deburring Using Local N on-rigid 3d Registration)
New Robotics Data Have Been Reported by Investigators at Huazhong University of Science and Technology (Tool Path Correction for Robotic Deburring Using Local N on-rigid 3d Registration)
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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 from Wuhan, People's Republic of China, by N ewsRx journalists, research stated, "The presence of residual burrs on the surfa ce of workpieces not only affects the surface quality but also reduces their per formance. The position and orientation of the cutting tool in the deburring proc ess are crucial for effective burr removal." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Hubei Province. The news correspondents obtained a quote from the research from the Huazhong Uni versity of Science and Technology, "Due to the interference caused by the burrs uncertainty or the manufacturing deformation, the off-line path from the workpie ce CAD model is difficult to ensure the processing quality in robotic deburring. To solve that, a correction strategy for the robotic deburring paths is develop ed based on a visual feedback model registration. Firstly, by applying CAM softw are, the nominal tool path is generated from the workpiece CAD model. Secondly, by conducting global rigid registration, followed by a local non -rigid registra tion with burr height constraint, the transformation matrix between the measurin g data and CAD model can precisely calculate to mitigate the impact of local sha pe deformations on registration precision. Finally, the actual tool path is obta ined by using the transformation matrix to correct the nominal tool path."
WuhanPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobotsHuazhong University of Science and Technology
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