Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks by Rosario Aragues, Carlos Sagüés (Carlos Sagues), and Youcef Mezouar
Requirements: Any PDF Reader, 4.58 MB
Overview: 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.
Genre: Tech & Devices
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