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- W151331503 abstract "Abstract This paper introduces a concept of positioning deviation compensation of a large scale flexible hydraulic manipulator by integrating a machine vision system and applying neural networks. The method has the advantage of being able to apply simple geometry based rigid inverse kinematic models in high precision flexible applications. Basically the method consists of a simple control scheme, an inverse kinematic model and a neural network based deviation compensation module. The neural network is trained with data obtained with a machine vision system. The method has been tested in real-time on a large scale flexible manipulator in two dimensions. The results have been found applicable in real life problems." @default.
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- W151331503 date "2001-01-01" @default.
- W151331503 modified "2023-09-24" @default.
- W151331503 title "Deflection Compensation of Flexible Manipulators Using Machine Vision and Neural Networks" @default.
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- W151331503 doi "https://doi.org/10.1016/b978-044450649-8/50035-8" @default.
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