Handling Uncertainty and Networked Structure in Robot Control (Paperback, Softcover reprint of the original 1st ed. 2015)

This book focuses on two challenges posed in robot control by the increasing adoption of robots in the everyday human environment: uncertainty and networked communication. Part I of the book describes learning control to address environmental uncertainty. Part II discusses state estimation, active sensing, and complex scenario perception to tackle sensing uncertainty. Part III completes the book with control of networked robots and multi-robot teams. Each chapter features in-depth technical coverage and case studies highlighting the applicability of the techniques, with real robots or in simulation. Platforms include mobile ground, aerial, and underwater robots, as well as humanoid robots and robot arms. Source code and experimental data are available at http://extras.springer.com. The text gathers contributions from academic and industry experts, and offers a valuable resource for researchers or graduate students in robot control and perception. It also benefits researchers in related areas, such as computer vision, nonlinear and learning control, and multi-agent systems.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 42
Release date:	March 2018
First published:	2015
Editors:	Lucian Busoniu • Levente Tamas
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	388
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-79932-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	3-319-79932-0
Barcode:	9783319799322

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