Uncovering the topology of configuration space networks

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Many robotics problems are formulated as optimization problems. However, most optimization solvers in robotics are locally optimal and the performance depends a lot on the initial guess. For challenging problems, the solver will often get stuck at poor loc ...

Humans can rapidly estimate the statistical properties of groups of stimuli, including their average and variability. But recent studies of so-called Feature Distribution Learning (FDL) have shown that observers can quickly learn even more complex aspects ...

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Uncovering the topology of configuration space networks

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Memory of Motion for Initializing Optimization in Robotics

Feature distribution learning by passive exposure

Tree root distribution modelling in different environmental conditions

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A new Analleucosma Antoine, 1989 from West Africa (Coleoptera, Scarabaeidae, Cetoniinae)

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Sensitivity and spectral control of network lasers