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Alexander Denecke , "Hypothesis-based image segmentation for object learning and recognition", University of Bielefeld, 2011.



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Thomas H Weisswange, Constantin Rothkopf, Tobias Rodemann, Jochen Triesch , "Bayesian cue integration as a developmental outcome of reward mediated learning", PLoS ONE, vol. 6, no. 7, 2011.



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Maha Salem, Stefan Kopp, Katharina Rohlfing, Frank Joublin , "Investigating the Effect of Robot Gesture", IEEE Int. Symposium on Robot and Human Interactive Communication (RO-MAN), 2011.



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Gökhan Ince, Kazuhiro Nakadai, Tobias Rodemann, Hiroshi Tsujino, Jun-ichi Imura , "Whole Body Motion Noise Cancellation of a Robot for Improved Automatic Speech Recognition", Advanced Robotics, vol. 25, no. 14, 2011.

Abstract

The motors of a robot produce ego-motion noise that degrades the quality of recorded sounds. This article describes an architecture that enhances the capability of a robot to perform automatic speech recognition (ASR) even as the entire body of the robot moves. The architecture consists of three blocks: (1) a multi-channel noise reduction block, consisting of microphone-array-based sound localization, geometric source separation and post-ltering,...



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Rujiao Yan, Tobias Rodemann, Britta Wrede , "Learning of Audiovisual Integration", Proceedings of ICDL/EPIROB 2011, 2011.



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Benjamin Dittes and Christian Goerick , "Intelligent System Architectures – Comparison by Translation", Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.



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Miranda Grahl , "Focus of Attention on Relevant Multimodal Events", University Bielefeld, Uni. Bielefeld, 2011.

Abstract

Current artificial systems for active vision do not tackle an autonomous learning of a gaze control that focuses on multimodal aspects of the environment. They are either based on a reactive gaze control or presume defined models for visual and auditory input in order to attend to objects. However, it is well known in infancy research that infants do not rely on such predefined models (Spelke, 1981). They rather flexibly learn audiovisual associa...



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Manuel Mühlig, Michael Gienger, Jochen Steil , "Interactive imitation learning of object movement skills", Autonomous Robots, vol. 28, no. 1, pp. 1-18, 2011.



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Stephan Kirstein and Heiko Wersing , "A Biologically Inspired Approach for Interactive Learning of Categories", International Conference on Development and Learning, 2011.



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Hisashi Sugiura, Michael Gienger, Herbert Janßen, Christian Goerick , "Reactive Self Collision Avoidance with Dynamic Task Prioritization for Humanoid Robots", International Journal of Humanoid Robotics (IJHR), vol. 7, no. 1, pp. 31-54, 2010.

Abstract

We propose a self collision avoidance system for humanoid robots designed for interacting with the real world. It protects not only the humanoid robots’ hardware but also expands its working range while keeping smooth motions. It runs in real-time in order to handle unpredictable reactive tasks such as reaching to moving targets tracked by vision during dynamic motions like e.g. biped walking. The collision avoidance is composed of two important ...



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