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Showing result 1 - 5 of 11 swedish dissertations matching the above criteria.
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1. Muscle Thixotropy : Implications for Human Motor Control
Abstract : Human skeletal muscles possess thixotropic, i.e. history-dependent mechanical properties. This means that the degree of passive muscle stiffness and resting tension is dependent on the immediately preceding history of contractions and length changes. READ MORE
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2. Retarded sorption in wood : experimental study, analyses and modeling
Abstract : Models of moisture flow processes in wood are normally based on a Fickian approach. In many instances, there are considerable discrepancies between modelling and experimental results. It is shown in this thesis that a major cause for these discrepancies is a so-called retarded sorption which is not accounted for in conventional theories. READ MORE
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3. Touching the Essence of Life : Haptic Virtual Proteins for Learning
Abstract : This dissertation presents research in the development and use of a multi-modal visual and haptic virtual model in higher education. The model, named Chemical Force Feedback (CFF), represents molecular recognition through the example of protein-ligand docking, and enables students to simultaneously see and feel representations of the protein and ligand molecules and their force interactions. READ MORE
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4. Coupled thermal, metallurgical and mechanical models of multipass welding
Abstract : This thesis deals with modelling and simulation of thermo mechanical processes in multipass welding. The aim of the simulations is to predict the residual stresses and/or the deformations that occur after welding. These residual stresses and deformations are caused by the high temperature gradients due to the local heating. READ MORE
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5. Path integral control endowed robot planning under spatiotemporal logic specifications
Abstract : The increasing level of autonomy and intelligence of robotic systems in carrying out complex tasks can be expected to revolutionize both the industry and our everyday lives. This thesis takes a step towards automation by leveraging the power of path integral control (PIC) methods for solving control problems under such task satisfaction constraints in both a stochastic control and a reinforcement learning setting. READ MORE