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Titlebook: RoboCup 2011: RobotSoccer World Cup XV; Thomas Röfer,N. Michael Mayer,Uluc̨ Saranlı Conference proceedings 2012 Springer-Verlag Berlin Hei

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Robot Hardware, Software, and Technologies behind the SKUBA Robot Teamtem. The robot mechanics are explained in detail along with the electronic boards. Protection circuits are added to make the robot more robust. A torque controller is implemented as low-level controller to reduce the effect of surfaces. The high level AI system is separated into three major modules:
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B-Human 2011 – Eliminating Game Delayslevant subtasks, such as vision, state estimation, and walking. Therefore, the development towards RoboCup 2011 did not focus on replacing specific low-quality components, but was guided by an overall goal: eliminating game delays by more efficient actions and faster reactions to game state changes.
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RoboCup 2011 Humanoid League Winnerslision avoidance have matured enough to allow for dynamic and exciting games. In this paper, the three winning Humanoid League teams from the KidSize, TeenSize, and AdultSize class present their soccer systems. The KidSize winner team DARwIn used the recently introduced DARwIn-OP robot. The TeenSize
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Towards Robust Mobility, Flexible Object Manipulation, and Intuitive Multimodal Interaction for Domevice robot Cosero that we used for the first time in a competition in 2011. We demonstrated novel capabilities in the league such as real-time table-top segmentation, flexible grasp planning, and real-time tracking of objects. We also describe our approaches to human-robot cooperative manipulation a
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RoboCupJunior – A Decade Latere rules and structures since its launch in 2000. RoboCupJunior International is now attracting over 250 teams involving approximately 1,000 students originating from more than 30 countries. This paper aims to report on the progress achieved thus far, both technologically and educationally, and the i
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Ball Interception Behaviour in Robotic Soccer Thus ball interception is a key behaviour in robotic soccer. However, currently most MSL teams move to the ball position without considering the ball velocity. This often results in inefficient paths described by the robot. This paper presents the CAMBADA solution for a ball interception behaviour
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