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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Bibliographische Detailangaben

Veröffentlicht in:	Robotics and autonomous systems Jg. 194; S. 105155
Hauptverfasser:	Continelli, Nicole A., Nagua, Luis F., Olmos, Pablo M., Monje, Concepción A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2025
Schlagworte:	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
Online-Zugang:	Volltext
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