Buch, Englisch, 116 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 201 g
Algorithms, Tools and Strategies for Robotic Networks
Buch, Englisch, 116 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 201 g
Reihe: SpringerBriefs in Computer Science
ISBN: 978-3-319-25884-3
Verlag: Springer International Publishing
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.Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
