Titlebook: Robotics Research; The 13 International Makoto Kaneko,Yoshihiko Nakamura Conference proceedings 2011 Springer-Verlag Berlin Heidelberg 2011

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The Words of the Human Locomotion,tion neuroscience via the geometric control of nonholonomic systems. We argue that a human locomotion model can be derived from a top-down approach, by exclusively looking at the shape of locomotor trajectories and by ignoring all the body biomechanical motor controls generating the motions.

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Incremental Learning of Statistical Motion Patterns with Growing Hidden Markov Models,tion (. internal state, perception, etc.) this is often tackled by applying machine learning techniques to build a statistical model, using as input a collection of trajectories gathered through a sensor (. camera, laser scanner), and then using that model to predict further motion. Unfortunately, m

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Interval Analysis and Robotics,Examples of such problems are system solving and global optimization but numerous other problems may be addressed as well. This approach has the following general advantages:.A further inherent property that is of interest for robotics problems is that this approach allows one to deal with the . tha

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