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Human and animal movement is absolutely fascinating and difficult to reproduce by technical devices. It has been proposed that part of the movement generation and control can be attributed to the non-linear characteristics of the bio-mechanical structures and the morphology. Terms like morphological computation (Paul, 2006) and intelligence by mechanics (Blickhan et al., 2007) capture this idea. With the aid of computer simulations of human movement, we investigate the contribution of muscles and other structures to the movement generation. The talk will present the simulation approach (multi-body, muscle models, and neural motor control concept) and discuss the approach to quantify control effort based on information theory for the evaluation of the model results.
Daniel Häufle (Hertie Institute for Clinical Brain Research and the Center for Integrative Neuro Science, Tübingen)
Group Leader Multi-level modeling in motor control and rehabilitation robotics
Daniel Haeufle studied physics in Jena (Germany) and Calgary (Canada). His PhD on computer simulations of biological muscle contraction was supervised by Günther Wunner (First institute for Theoretical Physics, Stuttgart) and Syn Schmitt (Biomechanics and Biorobotics, SimTech, Stuttgart). He visited Hartmut Geyer at the Robotics Institute, Carnegie Mellon University, Pittsburgh, USA. He is now leader of the young investigator group „Multi-level modeling in motor control and rehabilitation robotics“ at the Hertie Institute for Clinical Brain Research and the Center for Integrative Neuro Science, Tübingen.
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