Biblio
Situated robot learning for multi-modal instruction and imitation of grasping. Robotics and Autonomous Systems. 47:129–141.
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2004. Input Space Bifurcation Manifolds of Recurrent Neural Networks. Neurocomputing. 64:25–38.
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2005. Task-Oriented Quality Measures for Dextrous Grasping. Proc. Conference on Computational Intelligence in Robotics and Automation. :689–694.
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2005. Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand. Proc. Int. Conf. on Intelligent Robots and Systems (IROS). :2951–2956.
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2007. Input Space Bifurcation Manifolds of RNNs. Proc. European Symposium Artificial Neural Networks. :13–19.
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2004. Gestalt-Based Action Segmentation for Robot Task Learning. IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS). :347–352.
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2008. Dynamic Path Planning for a 7-DOF Robot Arm. Int. Conf. Intelligent Robots and Systems. :3879–3884.
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2006. Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. Artificial Neural Networks - ICANN 2001. 2130:1109–1114.
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2001. Trying to Grasp a Sketch of a Brain for Grasping. Creating Brain-Like Intelligence. :84–102.
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2009. Manual Intelligence as a Rosetta Stone for Robot Cognition. Robotics Research. 66:135–146.
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2011. A Dual Interaction Perspective for Robot Cognition: Grasping as a "Rosetta Stone". Perspectives of Neural-Symbolic Integration. :159–178.
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2007.