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.
The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level.| ISBN: | 9783319258843 |
| Publication date: | 10th November 2015 |
| Author: | Rosario Aragues, Carlos Sagues, Youcef Mezouar |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 116 pages |
| Series: | SpringerBriefs in Computer Science |
| Genres: |
Artificial intelligence Computer vision Automatic control engineering Network hardware |
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.
The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level.Parallel and Distributed Map Merging and Localization features in the following genres: Artificial intelligence, Computer vision, Automatic control engineering, Network hardware
Parallel and Distributed Map Merging and Localization is available in Paperback
Parallel and Distributed Map Merging and Localization was written by Rosario Aragues, Carlos Sagues, Youcef Mezouar and published by Springer an imprint of Springer International Publishing
Parallel and Distributed Map Merging and Localization has 116 pages
Yes it is part of SpringerBriefs in Computer Science series