About this book
This work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinated tasks. After identifying the main issues associated with this problem, each chapter introduces a different distributed strategy for solving them.
In addition to presenting a review of distributed algorithms for perception in localization and map merging, the text also provides the reader with the necessary tools for proposing new solutions to problems of multi-robot perception, as well as other interesting topics related to multi-robot scenarios.This work will be of interest to postgraduate students and researchers in the robotics and control communities, and will appeal to anyone with a general interest in multi-robot systems. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level. The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied.
- DOI https://doi.org/10.1007/978-3-319-25886-7
- Copyright Information The Author(s) 2015
- Publisher Name Springer, Cham
- eBook Packages Computer Science
- Print ISBN 978-3-319-25884-3
- Online ISBN 978-3-319-25886-7
- Series Print ISSN 2191-5768
- Series Online ISSN 2191-5776
- About this book