TY  - BOOK
AU  - Aragues,Rosario
AU  - Sagüés,Carlos
AU  - Mezouar,Youcef
ED  - SpringerLink (Online service)
TI  - Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks 
T2  - SpringerBriefs in Computer Science,
SN  - 9783319258867
AV  - Q334-342 
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Artificial intelligence
KW  - Computer Communication Networks
KW  - Computer vision
KW  - Artificial Intelligence
KW  - Robotics and Automation
KW  - Image Processing and Computer Vision
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-25886-7
ER  -