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Titlebook: RoboCup 2022: Robot World Cup XXV; Amy Eguchi,Nuno Lau,Thanapat Wanichanon Conference proceedings 2023 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 17:33:17 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱RoboCup 2022: Robot World Cup XXV
編輯Amy Eguchi,Nuno Lau,Thanapat Wanichanon
視頻videohttp://file.papertrans.cn/832/831017/831017.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: RoboCup 2022: Robot World Cup XXV;  Amy Eguchi,Nuno Lau,Thanapat Wanichanon Conference proceedings 2023 The Editor(s) (if applicable) and T
描述.This book constitutes the proceedings of the 25th RoboCup International Symposium which was held online during July 2022 in Bangkok, Thailand...The 28 full papers included in these proceedings were carefully reviewed and selected from 40 submissions; the volume includes 12 papers from the winners of the RoboCup 2022 competitions under the Champions Track..?..The RoboCup International Symposium focuses on the science behind the advances in robotics, including the key innovations that led the winning teams to their success, and the outcomes of research inspired by challenges across the different leagues at RoboCup..
出版日期Conference proceedings 2023
關鍵詞Robotics; Artificial Intelligence; Intelligent Systems; Machine learning; Ambient intelligence; humanoid
版次1
doihttps://doi.org/10.1007/978-3-031-28469-4
isbn_softcover978-3-031-28468-7
isbn_ebook978-3-031-28469-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Object Tracking for?the?Rotating Table Testdditional situation-specific video data is not required. We evaluate and compare SORT with YOLOv5 and SqueezeDet backbones and demonstrate the improvement in tracking performance when using the former. The evaluation dataset and corresponding annotations are made available for use in the community.
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Cyrus2D Base: Source Code Base for?RoboCup 2D Soccer Simulation Leaguee performance and capabilities of this base alongside a Data Extractor to facilitate the implementation of machine learning in the field. We have tested this base code in different teams and scenarios, and the obtained results demonstrate significant improvements in the defensive and offensive strategy of the team.
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0302-9743 in robotics, including the key innovations that led the winning teams to their success, and the outcomes of research inspired by challenges across the different leagues at RoboCup..978-3-031-28468-7978-3-031-28469-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Instance-Based Opponent Action Prediction in?Soccer Simulation Using Boundary Graphsons of that agent’s behavior as well as on the capability to incorporate new knowledge into the opponent model easily. We present a novel approach to instance-based action prediction that utilizes graph-based structures for the efficiency of retrieval, that scales logarithmically with the amount of
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Gait Phase Detection on?Level and?Inclined Surfaces for?Human Beings with?an?Orthosis and?Humanoid Rnoid robot .. To cover different use cases, we use a rule-based algorithm. This offers the required flexibility and real-time capability. The inputs of the algorithm are inertial measurement unit and ankle joint angle signals. We show that the gait phases with the orthosis worn by a human participan
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