Titlebook: Parallel and Distributed Map Merging and Localization; Algorithms, Tools an Rosario Aragues,Carlos Sagüés,Youcef Mezouar Book 2015 The Auth

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2191-5768 g new approaches to multi-robot perception and other related.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 iss

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Conclusions,Along this book, we have presented distributed methods for localization and merging stochastic feature-based maps acquired by a team of robots for scenarios with limited communication.

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Rosario Aragues,Carlos Sagüés,Youcef MezouarHighlights 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

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Parallel and Distributed Map Merging and Localization978-3-319-25886-7Series ISSN 2191-5768 Series E-ISSN 2191-5776

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https://doi.org/10.1007/978-3-319-25886-7Data Association; Distributed Systems; Limited Communication; Localization; Map Merging; Multi-Robot Perc

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Introduction,ive tasks. This chapter introduces the multi-robot map merging and localization problem, and makes a revision of the state of the art in the topics involved. The last section in this chapter contains the book organization and explains the way in which the authors have focused the study.