Distributed Autonomous Robotic Systems / Springer Tracts in Advanced Robotics Bd.83 (PDF)
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Distributed robotics is a rapidly growing, interdisciplinary research area lying at the intersection of computer science, communication and control systems, and electrical and mechanical engineering. The goal of the Symposium on Distributed Autonomous Robotic Systems (DARS) is to exchange and stimulate research ideas to realize advanced distributed robotic systems.
This volume of proceedings includes 43 original contributions presented at the Tenth International Symposium on Distributed Autonomous Robotic Systems (DARS 2010), which was held in November 2010 at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. The selected papers in this volume are authored by leading researchers from Asia, Australia, Europa, and the Americas, thereby providing a broad coverage and perspective of the state-of-the-art technologies, algorithms, system architectures, and applications in distributed robotic systems. The book is organized into four parts, each representing one critical and long-term research thrust in the multi-robot community: distributed sensing (Part I); localization, navigation, and formations (Part II); coordination algorithms and formal methods (Part III); modularity, distributed manipulation, and platforms (Part IV).
- 2012, 2013, 612 Seiten, Englisch
- Herausgegeben: Alcherio Martinoli, Francesco Mondada, Nikolaus Correll, Grégory Mermoud, Magnus Egerstedt, M. Ani Hsieh, Lynne E. Parker, Kasper Støy
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642327230
- ISBN-13: 9783642327230
- Erscheinungsdatum: 05.09.2012
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- Dateiformat: PDF
- Größe: 31 MB
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“This interesting collection of selected research papers provides a unique reference on the current developments in … distributed autonomous robotic systems. … the book provides many interesting approaches, suggestions, and solutions to various critical problems in the development of robotics. … I would suggest it to those readers who intend to advance their knowledge in these robotic fields. … it is appropriate for self-study at the postgraduate level. In general, it would definitely be useful to scientists and engineers working to advance autonomous robotic systems.” (George K. Adam, ACM Computing Reviews, February, 2013)
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