首页|Study Results from Guangxi University Update Understanding of Robotics (A Novel Binocular Vision-robot Hand-eye Calibration Method Using Dual Nonlinear Optimization and Sample Screening)
Study Results from Guangxi University Update Understanding of Robotics (A Novel Binocular Vision-robot Hand-eye Calibration Method Using Dual Nonlinear Optimization and Sample Screening)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotics. According to news reporting out of Nanning,People’s Republic of China, by NewsRx editors, research stated, “To reduce the effects of random errorsin vision robotic systems, a double-layer LM (Levenberg- Marquardt) optimization (DLMO) method wasdesigned to improve the calibration accuracy of the robot hand-eye matrix based on the principle of nonlinear optimization. Firstly, a hand-eye matrix equation was established, and the initial value of the hand-eyematrix was solved by using a linear least square method.”
NanningPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsGuangxi University
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