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regression to represent unknown dynamics for model predictive control. Despite the practical success, there are still many theoretical open questions regarding scalability, uncertainty bounds and deriving
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Gaussian process regression to represent unknown dynamics for model predictive control. Despite the practical success, there are still many theoretical open questions regarding scalability, uncertainty
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. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases
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each year. You can find more information about us on the Department of Information Technology website. At the Division of Systems and Control in the Department of Information Technology, we develop both
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longer-lasting charging strategy for Li-ion cells using two complementary approaches. (1) By testing commercial cells under various controllable stress factors and integrating lifetime prediction models
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: - Distributed task and motion planning - Multi-agent navigation in constrained environments - Predictive collaboration with heterogeneous teaming - Perception-aware predictive motion planning - Distributed and
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-agent navigation in constrained environments - Predictive collaboration with heterogeneous teaming - Perception-aware predictive motion planning - Distributed and cooperative control - Body aware motion
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computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. At the Division of Systems
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will be part of this research ecosystem. Project description A key missing capability in current cancer research is the ability to predict how a particular cancer cell will respond to a perturbation (e.g
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will be part of this research ecosystem. Project description A key missing capability in current cancer research is the ability to predict how a particular cancer cell will respond to a perturbation (e.g