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Parallel and Distributed Map Merging and Localization : Algorithms, Tools and Strategies for Robotic Networks / by Rosario Aragues, Carlos Sagüés, Youcef Mezouar.
- Format:
- Book
- Author/Creator:
- Aragues, Rosario, author.
- Sagüés, Carlos, author.
- Mezouar, Youcef, author.
- Series:
- Computer Science (Springer-11645)
- SpringerBriefs in computer science 2191-5768
- SpringerBriefs in Computer Science, 2191-5768
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Robotics.
- Automation.
- Computer networks.
- Optical data processing.
- Artificial Intelligence.
- Robotics and Automation.
- Computer Communication Networks.
- Image Processing and Computer Vision.
- Local Subjects:
- Artificial Intelligence.
- Robotics and Automation.
- Computer Communication Networks.
- Image Processing and Computer Vision.
- Physical Description:
- 1 online resource (VIII, 116 pages) : 34 illustrations.
- Edition:
- First edition 2015.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2015.
- System Details:
- text file PDF
- Summary:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-25886-7
- 9783319258867
- Access Restriction:
- Restricted for use by site license.
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