首页|Recent Research from Chinese Academy of Sciences Highlight Findings in Robotics (A Comprehensive On-load Calibration Method for Industrial Robots Based On a Uni fied Kinetostatic Error Model and Gaussian Process Regression)
Recent Research from Chinese Academy of Sciences Highlight Findings in Robotics (A Comprehensive On-load Calibration Method for Industrial Robots Based On a Uni fied Kinetostatic Error Model and Gaussian Process Regression)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originatingfrom Ningbo, People’s Republic o f China, by NewsRx correspondents, research stated, “Industrial robotsare widel y used in various manufacturing processes due to their flexibility and versatili ty. However, therobot’s absolute accuracy is significantly impacted by inaccura te kinematic parameters, joint compliance,and other nonlinear factors.”
NingboPeople’s Republic of ChinaAsiaEmerging TechnologiesGaussian ProcessesMachine LearningNano-robotRobotRoboticsChinese Academy of Sciences
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