书目名称 | Parallel and Distributed Map Merging and Localization |
副标题 | Algorithms, Tools an |
编辑 | Rosario Aragues,Carlos Sagüés,Youcef Mezouar |
视频video | http://file.papertrans.cn/742/741074/741074.mp4 |
概述 | Highlights the unique challenges and possibilities introduced by multi-robot systems and distributed strategies.Provides tools for developing new approaches to multi-robot perception and other related |
丛书名称 | SpringerBriefs in Computer Science |
图书封面 |  |
描述 | .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. |
出版日期 | Book 2015 |
关键词 | Data Association; Distributed Systems; Limited Communication; Localization; Map Merging; Multi-Robot Perc |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-25886-7 |
isbn_softcover | 978-3-319-25884-3 |
isbn_ebook | 978-3-319-25886-7Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
issn_series | 2191-5768 |
copyright | The Author(s) 2015 |