Titlebook: RoboCup 2016: Robot World Cup XX; Sven Behnke,Raymond Sheh,Daniel D. Lee Conference proceedings 2017 Springer International Publishing AG,

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Andreas Seekircher,Ubbo Visserctron microscopy, environmental transmission electron microscopy, quantitative electron diffraction, Lorentz microscopy, electron holography, 3-D transmission electron microscopy, high-spatial resolu978-1-4020-8006-7

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Classifying the Strategies of an Opponent Team Based on a Sequence of Actions in the RoboCup SSLndex, yielding a value exceeding 0.877 in 3 out of 4 games. A Rand index value exceeding 0.840 was obtained from an analysis of the 4 opponent teams (1 game for each opponent team). These Rand indices represent a high level of classification algorithm performance.

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A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environmente PaSC database, the most challenging face recognition database to date, showing an improved performance..Finally, we present our SCITOS G5 robot system, which incorporates our framework as a means of image pre-processing for face analysis.

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A Closed-Loop Gait for Humanoid Robots Combining LIPM with Parameter Optimizationby adjusting the LIPM to fit the observed behavior. Our experiments show that the optimized model yields a more controlled, faster and even more energy-efficient walk on different NAO robots and on various surfaces without additional manual parameter tuning.

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Opponent-Aware Ball-Manipulation Skills for an Autonomous Soccer Robotr selecting the appropriate skill given the state of the world. To support the efficacy of the approach, we first show its impact in real games through statistics from the RoboCup tournament. For further evaluation, we experimentally demonstrate the advantages of each introduced skill in different sub-domains of robot soccer.

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On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalitiation, allows us to capture a larger subset of household objects by extending a state of the art object recognition method. This leads to a significant increase in robustness of recognition over a larger set of commonly used objects.

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