Distributed Autonomous Robotic Systems 7 Electronic Resource

Author: Minn.) 2006 : (8th International Symposium on Distributed Autonomous Robotic Systems Minneapolis
Editor: Springer
ISBN: 3030058166
Size: 10,84 MB
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Distributed Autonomous Robotic Systems 7

Author: Maria Gini
Editor: Springer
ISBN: 9784431358787
Size: 20,56 MB
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This book collects papers selected by an international program committee for presentation at the 8th International Symposium on Distributed Autonomous Robotic Systems. The papers present state of the art research advances in the field of distributed robotics. What makes this book distinctive is the emphasis on using multiple robots and on making them autonomous, as opposed to being teleoperated. Novel algorithms, system architectures, technologies, and numerous applications are covered.

Distributed Autonomous Robotic Systems

Author: M. Ani Hsieh
Editor: Springer
ISBN: 3642551467
Size: 19,87 MB
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Distributed robotics is a rapidly growing and maturing interdisciplinary research area lying at the intersection of computer science, network science, control theory, 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 31 original contributions presented at the 2012 International Symposium on Distributed Autonomous Robotic Systems (DARS 2012) held in November 2012 at the Johns Hopkins University in Baltimore, MD USA. The selected papers in this volume are authored by leading researchers from Asia, 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 five parts, representative of critical long-term and emerging research thrusts in the multi-robot community: Coordination for Perception, Coverage, and Tracking; Task Allocation and Coordination Strategies; Modular Robots and Novel Mechanisms and Sensors; Formation Control and Planning for Robot Teams; and Learning, Adaptation, and Cognition for Robot Teams.

Distributed Autonomous Robotic Systems 2

Author: Hajime Asama
Editor: Springer Science & Business Media
ISBN: 4431669426
Size: 11,74 MB
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Great interest is now focused on distributed autonomous robotic systems (DARS) as a new strategy for the realization of flexible, robust, and intelligent robots. Inspired by autonomous, decentralized, and self-organizing biological systems, the field of DARS encompasses broad interdisciplinary technologies related not only to robotics and computer engineering but also to biology and psychology. The rapidly growing interest in this new area of research was manifest in the first volume of Distributed Autonomous Robotic Systems, published in 1994. This second volume in the series presents the most recent work by eminent researchers and includes such topics as multirobot control, distributed robotic systems design, self-organizing systems, and sensing and navigation for cooperative robots. Distributed Autonomous Robotic Systems 2 is a valuable source for those whose work involves robotics and will be of great interest to those in the fields of artificial intelligence, self-organizing systems, artificial life, and computer science.

Distributed Autonomous Robotic Systems

Author: Roderich Groß
Editor: Springer
ISBN: 3319730088
Size: 14,41 MB
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Distributed robotics is an interdisciplinary and rapidly growing area, combining research in computer science, communication and control systems, and electrical and mechanical engineering. Distributed robotic systems can autonomously solve complex problems while operating in highly unstructured real-world environments. They are expected to play a major role in addressing future societal needs, for example, by improving environmental impact assessment, food supply, transportation, manufacturing, security, and emergency and rescue services. The goal of the International Symposium on Distributed Autonomous Robotic Systems (DARS) is to provide a forum for scientific advances in the theory and practice of distributed autonomous robotic systems. This volume of proceedings include 47 original contributions presented at the 13th International Symposium on Distributed Autonomous Robotic Systems (DARS 2016), which was held at the Natural History Museum in London, UK, from November 7th to 9th, 2016. The selected papers in this volume are authored by leading researchers from around the world, 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 seven parts, representative of critical long-term and emerging research thrusts in the multi-robot community: Distributed Coverage and Exploration; Multi-Robot Control; Multi-Robot Estimation; Multi-Robot Planning; Modular Robots and Smart Materials; Swarm Robotics; and Multi-Robot Systems in Applications.

Distributed Autonomous Robotic Systems 3

Author: Tim Lueth
Editor: Springer Science & Business Media
ISBN: 3642721982
Size: 16,21 MB
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Distributed autonomous robotic systems (DARS) are systems composed of multiple autonomous units such as modules, cells, processors, agents, and robots. Combination or cooperative operation of multiple autonomous units is expected to lead to desirable features such as flexibility, fault tolerance, and efficiency. The DARS is the leading established conference on distributed autonomous systems. All papers have the common goal to contribute solutions to the very demanding task of designing distributed systems to realize robust and intelligent robotic systems.

Distributed Autonomous Robotic Systems 4

Author: Lynne E. Parker
Editor: Springer Verlag
ISBN: 9784431702955
Size: 19,39 MB
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The Fifth International Symposium on Distributed Autonomous Robotic Systems (DARS 2000) was held in October 2000 in Knoxville, Tennessee, and was hosted by the Oak Ridge National Laboratory and the Engineering Research Program of the Office of Basic Energy Sciences of the U.S. Department of Energy. This volume of proceedings presents a broad coverage of the state-of-the-art technical issues in distributed multirobot systems. Technologies, algorithms, and system architectures for distributed autonomous robotic systems are discussed. Specific topics include group behaviors, coordinated control, distributed planning, cellular robotics, self-organizing robotic systems, collective/swarm intelligence, and shared autonomy. The selected papers in this volume, contributed by leading researchers from Asia, Europe, and the Americas, provide a unique cutting-edge perspective on distributed multirobot systems.

Intelligent Autonomous Systems 7

Author: Maria Gini
Editor: IOS Press
ISBN: 9781586032395
Size: 12,74 MB
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The goal of the Seventh International Conference on Intelligent Autonomous Systems (IAS-7) was to exchange and stimulate research ideas that make future robots and systems more intelligent and autonomous. This volume of proceedings contains 71 technical papers by authors from 15 countries.

1993 Ieee Rsj International Conference On Intelligent Robots And Systems

Author: IEEE Industrial Electronics Society
Editor:
ISBN: 9780780308237
Size: 16,87 MB
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Distributed Consensus With Visual Perception In Multi Robot Systems

Author: Eduardo Montijano
Editor: Springer
ISBN: 3319156993
Size: 17,95 MB
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This monograph introduces novel responses to the different problems that arise when multiple robots need to execute a task in cooperation, each robot in the team having a monocular camera as its primary input sensor. Its central proposition is that a consistent perception of the world is crucial for the good development of any multi-robot application. The text focuses on the high-level problem of cooperative perception by a multi-robot system: the idea that, depending on what each robot sees and its current situation, it will need to communicate these things to its fellows whenever possible to share what it has found and keep updated by them in its turn. However, in any realistic scenario, distributed solutions to this problem are not trivial and need to be addressed from as many angles as possible. Distributed Consensus with Visual Perception in Multi-Robot Systems covers a variety of related topics such as: • distributed consensus algorithms; • data association and robustness problems; • convergence speed; and • cooperative mapping. The book first puts forward algorithmic solutions to these problems and then supports them with empirical validations working with real images. It provides the reader with a deeper understanding of the problems associated to the perception of the world by a team of cooperating robots with onboard cameras. Academic researchers and graduate students working with multi-robot systems, or investigating problems of distributed control or computer vision and cooperative perception will find this book of material assistance with their studies.