Behzad Dariush, Michael Gienger, Arjun Arumbakkam, Youding Zhu, Bing Jian, Kikuo Fujimura, Christian Goerick,
"Online transfer of human motion to humanoids",
International Journal of Humanoid Robotics (IJHR), vol. Vol. 6, no. No. 2, 2009.
Abstract
Transferring motion from a human demonstrator to a humanoid robot is an important step toward developing robots that are easily programmable and that can replicate or learn from observed human motion. The so called motion retargeting problem has been well studied and several off-line solutions exist based on optimization approaches that rely on pre-recorded human motion data collected from a marker-based motion capture system. From the perspectiv...
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Miguel Vaz, Holger Brandl, Frank Joublin, Christian Goerick,
"Speech imitation with a child's voice: addressing the correspondence problem",
Proceedings of 13th International Conference on Speech and Computer, 2009.
Abstract
We hereby present our first steps towards linking an embodied speech acquisition system and a speech production module, in order to provide a robot with the ability to reproduce acquired speech representations. Due to the type of interaction intended for the robot, we endowed it with a child-like voice, concretized with the use of a new vocoder-like technique for speech synthesis. The task in hand consists of finding and using a correspondence be...
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Yaochu Jin and Bernhard Sendhoff,
"A systems approach to evolutionary multi-objective structural optimization and beyond",
IEEE Computational Intelligence Magazine, vol. 4, no. 3, pp. 62–76, 2009.
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Honglian Guo, Yan Meng, Yaochu Jin,
"Self-adaptive multi-robot construction using gene regulatory networks",
IEEE Symposium on Artificial Life (IEEE ALIFE 2009), pp. 53–60, 2009.
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Sven Rebhan, Andreas Richter, Julian Eggert,
"Demand-Driven Visual Information Acquisition",
Proceedings of the 7th International Conference on Computer Vision Systems (ICVS), pp. 124–133, 2009.
Abstract
Fast, reliable and demand-driven acquisition of visual information is the key to represent visual scenes efficiently. To achieve this efficiency, a cognitive vision system must plan the utilization of its processing resources to acquire only information relevant for the task. Here, the incorporation of long-term knowledge plays a major role on deciding which information to gather. In this paper, we present a first approach to make use of the know...
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Martin Heckmann, Holger Brandl, Jens Schmüdderich, Xavier Domont, Bram Bolder, Inna Mikhailova, Herbert Janßen, Michael Gienger, Achim Bendig, Tobias Rodemann, Mark Dunn, Frank Joublin, Christian Goerick,
"Teaching a Humanoid Robot: Headset-Free Speech Interaction for Audio-Visual Association Learning",
Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2009.
Abstract
Based on inspirations from infant development we present a system which learns associations between acoustic labels and visual representations in interaction with its tutor. The system is integrated with a humanoid robot. Except for a few trigger phrases to start learning all acoustical representations are learned online and in interaction. Similar, for the visual domain the clusters are not predefined and fully learned online. In contrast to oth...
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Volker Willert and Julian Eggert,
"A Stochastic Dynamical System for Optical Flow Estimation",
IEEE International Conference on Computer Vision (ICCV), 4th International Workshop on Dynamical Vision, 2009.
Abstract
So far, the research on optical flow has mainly concentrated on motion estimations using the observation of a small number of temporal consecutive frames of an image sequence. The dynamics of the flow field evolution is mostly neglected. Our main concern is to stress that visual motion is a dynamic feature of an image input stream and the more visual data has been observed the more precise and detailed we can estimate and predict the motion conta...
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Andreas Knoblauch,
"Structural plasticity, cortical memory, and the spacing effect.",
BMC Neuroscience, vol. 10(Suppl 1), pp. O16, 2009.
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Christine Becker,
"Analysis and modeling of the glycolysis of Saccharomyces Cerevisiae",
TU Darmstadt, 2009.
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Manuel Mühlig, Michael Gienger, Sven Hellbach, Jochen Steil, Christian Goerick,
"Task-level Imitation Learning using Variance-based Movement Optimization",
International Conference on Robotics and Automation (ICRA), 2009.
Abstract
Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to program these tasks manually. Furthermore, humanoid robots, in contrast to industrial robots, should in the distant future behave within a social environment. Therefore, it must be possible to extend the robot’s abilities in an easy and natural way. To address these require...
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