Parallel and Distributed Map Merging and Localization
Algorithms, Tools and Strategies for Robotic Networks
Nonfiction, Science & Nature, Technology, Robotics, Computers, Advanced Computing, Artificial Intelligence, General Computing
| Author: | Youcef Mezouar, Carlos Sagüés, Rosario Aragues | ISBN: | 9783319258867 |
| Publisher: | Springer International Publishing | Publication: | October 31, 2015 |
| Imprint: | Springer | Language: | English |
| Author: | Youcef Mezouar, Carlos Sagüés, Rosario Aragues |
| ISBN: | 9783319258867 |
| Publisher: | Springer International Publishing |
| Publication: | October 31, 2015 |
| Imprint: | Springer |
| Language: | English |
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.
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.
