Parallel and Distributed Map Merging and Localization Algorithms, Tools and Strategies for Robotic Networks
Başlık:
Parallel and Distributed Map Merging and Localization Algorithms, Tools and Strategies for Robotic Networks
Yazar:
Aragues, Rosario. author.
ISBN:
9783319258867
Yazar:
Edisyon:
1st ed. 2015.
Fiziksel Niteleme:
VIII, 116 p. 34 illus. online resource.
Seri:
SpringerBriefs in Computer Science,
Özet:
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.
Ek Kurum Yazar:
Elektronik Erişim:
http://dx.doi.org/10.1007/978-3-319-25886-7