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control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
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. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process management. Addressing data sparsity and data quality issues in industrial process data
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complicated systems. These include humanoids, quadrupeds, omnidirectional drones and others. These controllers will rely on principles like Reinforcement Learning (RL), Model Predictive Control (MPC), or other
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for automated maintenance, adaptation, and transfer of predictive models, ensuring robust, sustainable, and efficient industrial operations. The successful candidate will lead the Model Predictive Control (MPC
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themes include: Safe and efficient decision-making and control for autonomous vehicles. Model Predictive Control (MPC), Reinforcement Learning (RL), and reachability analysis. Uncertainty quantification
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before Dec 5, 2025 will receive full consideration. About the Max Planck-IAS-NTU Center The Max Planck-IAS-NTU Center (MPC) is new interdisciplinary initiative of the Max Planck Society (MPG) in Germany
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of the system to be controlled. This RL approach will be compared and contrasted with optimal control methods such as Model Predictive Control (MPC). The various control strategies developed will first be
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. These controllers will rely on principles like Reinforcement Learning (RL), Model Predictive Control (MPC), or other Optimized Controllers. Essentially this position is in the realm of Artificial Intelligence (AI
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complicated systems. These include humanoids, quadrupeds, omnidirectional drones and others. These controllers will rely on principles like Reinforcement Learning (RL), Model Predictive Control (MPC), or other
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process industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification