Handling Uncertainty and Networked Structure in Robot Control

Nonfiction, Science & Nature, Technology, Automation, Robotics
Cover of the book Handling Uncertainty and Networked Structure in Robot Control by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319263274
Publisher: Springer International Publishing Publication: February 6, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319263274
Publisher: Springer International Publishing
Publication: February 6, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book International Tax Evasion in the Global Information Age by
Cover of the book Doing Business in Europe by
Cover of the book Particulate Products by
Cover of the book A Primer on Electromagnetic Fields by
Cover of the book Seventeenth-Century Indivisibles Revisited by
Cover of the book Regulatory Gaps in Baltic Sea Governance by
Cover of the book Quantum Waveguides by
Cover of the book Bullying, Prejudice and School Performance by
Cover of the book Towards a Sustainable Economy by
Cover of the book The Aesthetics of Clarity and Confusion by
Cover of the book Beckett and Modernism by
Cover of the book Video Analytics for Audience Measurement by
Cover of the book The Science of Time 2016 by
Cover of the book Radionanomedicine by
Cover of the book Police Socialisation, Identity and Culture by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy