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Model-Free Uncalibrated Visual Servoing Using Recursive Least Squares

机译:使用递归最小二乘的无模型未校准视觉伺服

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—In this paper, a model free uncalibrated visualservoing algorithm based on recursive least squares isproposed and discussed in depth. No robot kinetics ordynamics, camera calibration or target model to be trackedwould be ever needed. Based on the brief retrospection ofRLS filter as well as its theoretical analysis, i.e. Wiener-Hopfcondition, the core uncalibrated visual servoing algorithmbased on recursive least squares is explored in detail. Theexperimental results of both static and moving targetsapplied on a Puma-560 6DOFs industrial robot simulationverifies its performances.
机译:- 本文,一种基于递归最小二乘法的自由校准VisualServoing算法的模型,深入讨论。没有机器人动力学ordynamics,相机校准或待跟踪的目标模型。基于RLS滤波器的简要回顾以及理论分析,即Wiener-HOPFCondition,详细探讨了递归最小二乘的核心未校准的视觉伺服算法。 Puma-560 6dofs工业机器人的静态和移动目标的实际结果既静态和移动的靶向叠加的工业机器人模拟其性能。

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