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Titlebook: RoboCup 2003: Robot Soccer World Cup VII; Daniel Polani,Brett Browning,Kazuo Yoshida Conference proceedings 2004 Springer-Verlag Berlin He

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發(fā)表于 2025-3-21 17:28:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱RoboCup 2003: Robot Soccer World Cup VII
編輯Daniel Polani,Brett Browning,Kazuo Yoshida
視頻videohttp://file.papertrans.cn/831/830999/830999.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: RoboCup 2003: Robot Soccer World Cup VII;  Daniel Polani,Brett Browning,Kazuo Yoshida Conference proceedings 2004 Springer-Verlag Berlin He
出版日期Conference proceedings 2004
關(guān)鍵詞Artificial intelligence; Multi-agent system; RoboCup; intelligence; reading; robot; robotics
版次1
doihttps://doi.org/10.1007/b98623
isbn_softcover978-3-540-22443-3
isbn_ebook978-3-540-25940-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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Model and Behavior-Based Robotic Goalkeepersystem. Most robot parameters were designed based on simulations carried out with the Hybrid Automata Matlab/Simulink toolbox CheckMate. Results obtained with the actual goalkeeper are presented and discussed.
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A Real-Time Auto-Adjusting Vision System for Robotic Soccerpings of color classes to find and classify points on the outlines of objects. These points are used to calculate size and position of the objects in the image. Experiments on Sony’s four-legged robot Aibo show that the method is able to recognize and distinguish objects under a wide range of different lighting conditions.
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RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2 exact scientific goal, but as an audacious challenge to pursue. We aimed at creating a far away target for RoboCup researchers, as we were well aware that the development of fully autonomous soccer robots capable of competing against human world champion soccer players was a rather long term resear
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Challenges in Robust Situation Recognition through Information Fusion for Mission Criticial Multi-agboCup task domains. This paper particularly focuses on robust recognition through information fusions issue among numbers of others issues that are equally important. The robust recognition through information fusion is selected because it is one of the most universal issues in AI and robotics, and
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On Role Allocation in RoboCupk in multi-robot task allocation, we formalize the problem of role allocation as an iterated form of ., which is a well-studied problem from operations research. From this perspective, we analyze the allocation mechanisms of a number of RoboCup teams, showing that most of them are greedy, and that m
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