首页|Studies Conducted at Wuhan University on Robotics Recently Reported (Dual Quater nion Hand-eye Calibration Algorithm for Hunter-prey Optimization Based On Twice Opposition-learning and Random Differential Variation)
Studies Conducted at Wuhan University on Robotics Recently Reported (Dual Quater nion Hand-eye Calibration Algorithm for Hunter-prey Optimization Based On Twice Opposition-learning and Random Differential Variation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Data detailed on Robotics have been presented. Ac cording to news originating from Wuhan,People’s Republic of China, by NewsRx co rrespondents, research stated, “In order to solve the problemof noise interfere nce in camera calibration and robot forward kinematics solution, this study prop oses adual quaternion hand-eye calibration algorithm based on twice opposition- learning and random differentialvariation (ODHPO). The hand-eye calibration equ ation was innovatively rewritten in the form of dualquaternion, and the F -norm minimization model of the rotation and translation error function was constructed for optimization.”
WuhanPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsWuhan Uni versity