Parallel and Distributed Map Merging and Localization
Algorithms, Tools and Strategies for Robotic Networks
(Sprache: Englisch)
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...
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Klappentext zu „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.
Inhaltsverzeichnis zu „Parallel and Distributed Map Merging and Localization “
Introduction.- Distributed Data Association.- Distributed Localization.- Map Merging.- Real Experiments.- Conclusions.- Appendix A: Averaging Algorithms and Metropolis Weights.- Appendix B: Auxiliary Results for Distributed Localization.
Bibliographische Angaben
- Autoren: Rosario Aragues , Carlos Sagüés , Youcef Mezouar
- 2015, 1st ed. 2015, VIII, 116 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319258842
- ISBN-13: 9783319258843
- Erscheinungsdatum: 10.11.2015
Sprache:
Englisch
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