Abstract The robotic manipulation of a heavy industrial cable is challenging to model and control because of the high number of degrees of freedom and the rigid-flexible coupling dynamics. In this paper. we report the development of modeling the cable effect and control methodology for robotic cable manipulation. Our cable effect model is based on the 2D convolutional neural network. https://www.chiggate.com/western-wanted-reward-sign-cutouts-4-pack-sale/
Learning-based cable coupling effect modeling for robotic manipulation of heavy industrial cables
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