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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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the interface between formal verification and automated planning. This is a unique opportunity to contribute to safer, more intelligent systems through a combination of theoretical work and practical
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Engineering .SUWEE comprises 15 researchers dedicated to high-quality research and teaching on stormwater management, climate adaptation, and contaminated materials.Our strength lies in combining experimental
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