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Adaptive motion system helps robots achieve human-like dexterity with minimal data
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Abstract: This paper introduces a novel optimization-based approach for parametric nonlinear system identification. Building upon the prediction error method ...
Abstract: System identification is a vital aspect of modern control and automation, offering a pathway to develop mathematical models from observed input-output data of dynamic systems. This paper ...
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