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Neural Networks for Cooperative Control of Multiple Robot Arms / by Shuai Li, Yinyan Zhang.

By: Li, Shuai, autor
Contributor(s): Zhang, Yinyan, autor
Material type: materialTypeLabelE-bookSeries: (SpringerBriefs in Computational Intelligence, 2625-3704); (Engineering (Springer-11647)).Publisher: Singapore : Springer International Publishing, 2018Description: 1 recurso en línea (XV, 74 páginas 26 ilustraciones, 22 ilustraciones a color).ISBN: 9789811070372.Subject: Mecatrónica | RobotsOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Neural Networks Based Single Robot Arm Control for Visual Servoing -- Neural Networks for Robot Arm Cooperation with a Start Control Topology -- Neural Networks for Robot Arm Cooperation with a Hierarchical Control Topology -- Neural Networks for Robot Arm Cooperation with a Full Distributed Control Topology.
Abstract: This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TJ163.12 L574 2018 EB (Browse shelf(Opens below)) Acceso electrónico eBook.15112901
Total holds: 0

Neural Networks Based Single Robot Arm Control for Visual Servoing -- Neural Networks for Robot Arm Cooperation with a Start Control Topology -- Neural Networks for Robot Arm Cooperation with a Hierarchical Control Topology -- Neural Networks for Robot Arm Cooperation with a Full Distributed Control Topology.

This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.

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