Parallel and Distributed Map Merging and Localization

Algorithms, Tools and Strategies for Robotic Networks

Autor*innen

• Rosario Aragues

Parameter

• 124 Seiten
• 5 Lesestunden

• Informatik & Programmierung
• Technik & Maschinenbau

Mehr zum Buch

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.

• Sprache: Englisch
• Erscheinungsdatum: 2015
• Einband: Paperback