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Titlebook: Distributed Autonomous Robotic Systems; Hajime Asama (Research Scientist),Toshio Fukuda (P Conference proceedings 1994 Springer-Verlag Tok

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書(shū)目名稱Distributed Autonomous Robotic Systems
編輯Hajime Asama (Research Scientist),Toshio Fukuda (P
視頻videohttp://file.papertrans.cn/282/281751/281751.mp4
圖書(shū)封面Titlebook: Distributed Autonomous Robotic Systems;  Hajime Asama (Research Scientist),Toshio Fukuda (P Conference proceedings 1994 Springer-Verlag Tok
描述As a new strategy to realize the goal of flexible, robust, fault-tolerant robotic systems, the distributed autonomous approach has quickly established itself as one of the fastest growing fields in robotics. This book is one of the first to devote itself solely to this exciting area of research, covering such topics as self-organization, communication and coordination, multi-robot manipulation and control, distributed system design, distributed sensing, intelligent manufacturing systems, and group behavior. The fundamental technologies and system architectures of distributed autonomous robotic systems are expounded in detail, along with the latest research findings. This book should prove indispensable not only to those involved with robotic engineering but also to those in the fields of artificial intelligence, self-organizing systems, and coordinated control.
出版日期Conference proceedings 1994
關(guān)鍵詞Distributed Autonomous Robotic Systems; Technologie; artificial intelligence; autonom; communication; con
版次1
doihttps://doi.org/10.1007/978-4-431-68275-2
isbn_softcover978-4-431-68277-6
isbn_ebook978-4-431-68275-2
copyrightSpringer-Verlag Tokyo 1994
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https://doi.org/10.1057/9780230112018 KAMRO is considered that is being developed at IPR. Many experiments were performed with the former centralized control architecture. Our intention is to achieve the same and better results with the distributed control architecture KAMARA.
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International Economic Association Series results from other agents. However, it is difficult to formulate rules for evaluating if the chosen agent can produce a good result for the recognition, because various factors should be combined for the evaluation. To resolve the difficulty, we use the analytic hierarchy process (AHP) as the evalu
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Hierarchical Control Architecture with Learning and Adaptation Ability for Cellular Robotic System. That is, the conflicts of inter-processes are solved by coordination between the priority relation matrix and the interest relation matrix. The definition of the priority relation matrix and the interest relation matrix make it possible to realize a learning and adaptation ability for the behavior
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