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- W1996668928 abstract "A new modelling method of image Jacobian estimation is presented for uncalibrated visual servoing of robots, in which a kernel recursive least squares (KRLS) technique is used for non-linear mapping between target image features and robot joint angles, and an image Jacobian expression is derived from the KRLS algorithm with gaussian kernel. The simulations of robot visual servoing with eye-in-hand camera configuration are conducted using the KRLS Jacobian estimator and the same are compared with SVR and LS-SVM Jacobian estimators. The simulation results have shown that the robot visual servoing converges at the desired goal and KRLS is proved to be a better choice." @default.
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- W1996668928 date "2013-08-01" @default.
- W1996668928 modified "2023-10-13" @default.
- W1996668928 title "Kernel machines for uncalibrated visual servoing of robots" @default.
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- W1996668928 doi "https://doi.org/10.1109/isic.2013.6658623" @default.
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