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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書目名稱RoboCup 2022: Robot World Cup XXV影響因子(影響力)




書目名稱RoboCup 2022: Robot World Cup XXV影響因子(影響力)學(xué)科排名




書目名稱RoboCup 2022: Robot World Cup XXV網(wǎng)絡(luò)公開度




書目名稱RoboCup 2022: Robot World Cup XXV網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱RoboCup 2022: Robot World Cup XXV被引頻次




書目名稱RoboCup 2022: Robot World Cup XXV被引頻次學(xué)科排名




書目名稱RoboCup 2022: Robot World Cup XXV年度引用




書目名稱RoboCup 2022: Robot World Cup XXV年度引用學(xué)科排名




書目名稱RoboCup 2022: Robot World Cup XXV讀者反饋




書目名稱RoboCup 2022: Robot World Cup XXV讀者反饋學(xué)科排名

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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