Table of contents
About this book
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.
Editors and affiliations
- Book Title Handling Uncertainty and Networked Structure in Robot Control
- Series Title Studies in Systems, Decision and Control
- Series Abbreviated Title Studies in Systems, Decision and Control
- DOI https://doi.org/10.1007/978-3-319-26327-4
- Copyright Information Springer International Publishing Switzerland 2015
- Publisher Name Springer, Cham
- eBook Packages Engineering Engineering (R0)
- Hardcover ISBN 978-3-319-26325-0
- Softcover ISBN 978-3-319-79932-2
- eBook ISBN 978-3-319-26327-4
- Series ISSN 2198-4182
- Series E-ISSN 2198-4190
- Edition Number 1
- Number of Pages XXVIII, 388
- Number of Illustrations 26 b/w illustrations, 146 illustrations in colour
Control and Systems Theory
Robotics and Automation
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