Parallel and Distributed Map Merging and Localization
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<p>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.</p> <p>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.</p> 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.
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- Autor: Carlos Sagüés / Youcef Mezouar / Rosario Aragues
- Format: PDF
- DRM: social-drm (ohne Kopierschutz)
- Erscheinungsdatum: 31.10.2015
- Herausgeber: SPRINGER