Combined model-based and data-driven approach for the control of a soft robotic neck

This paper delves into the potential of integrating model-based and data-driven techniques for controlling the performance of a soft robotic neck. Artificial intelligence (AI) methods, such as machine learning and deep learning, have shown their applicability in modelling and controlling robotic sys...

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Vydané v:	Robotics and autonomous systems Ročník 194; s. 105155
Hlavní autori:	Continelli, Nicole A., Nagua, Luis F., Olmos, Pablo M., Monje, Concepción A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2025
Predmet:	Data processing Machine learning Model-based control Multi-layer perceptron Neural network Soft robotics Soft robotics Data processing Neural network Multi-layer perceptron Model-based control Machine learning
ISSN:	0921-8890
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