Parallel and Distributed Map Merging and Localization
Produktnummer:
188a72283486e847d7ac72fab820ada6b9
| Autor: | Aragues, Rosario Mezouar, Youcef Sagüés, Carlos |
|---|---|
| Themengebiete: | Data Association Distributed Systems Limited Communication Localization Map Merging Multi-Robot Perception Networked Robots |
| Veröffentlichungsdatum: | 10.11.2015 |
| EAN: | 9783319258843 |
| Sprache: | Englisch |
| Seitenzahl: | 116 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Untertitel: | Algorithms, Tools and Strategies for Robotic Networks |
Produktinformationen "Parallel and Distributed Map Merging and Localization"
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.
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