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 The Handbook of EEA Law by
Cover of the book Smart Micro-Grid Systems Security and Privacy by
Cover of the book New Trends in Databases and Information Systems by
Cover of the book Learning and Intelligent Optimization by
Cover of the book Automotive User Interfaces by
Cover of the book Core Ethics for Health Professionals by
Cover of the book The Figure of the Animal in Modern and Contemporary Poetry by
Cover of the book Geographical Information Systems Theory, Applications and Management by
Cover of the book The Meaning of Leisure by
Cover of the book Virtual Reality and Augmented Reality by
Cover of the book Mapping Migration, Identity, and Space by
Cover of the book Progress in Cartography by
Cover of the book Artificial Intelligence and Security by
Cover of the book Advanced Interfacing Techniques for Sensors by
Cover of the book Toxicological Effects of Perfluoroalkyl and Polyfluoroalkyl Substances 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