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, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, and bio-photonics. Technology for people DTU develops technology for people. With our
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investigate new algorithmic principles that make learning agents adapt to non-stationary environments in an autonomous manner. The expected outcomes are new theoretical insights about the algorithmic roots
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centers on developing a framework for controlling a robotic arm equipped with a cardiac ultrasound probe and complementary sensors. The goal is to enable autonomous placement of the probe on predefined
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the world based solely on research in photonics and electronics. Our photonics research is performed within optical sensors, lasers, LEDs, photovoltaics, ultra-high-speed optical transmission systems, bio
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on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
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describing the effect of conditions on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm
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deliver a theoretical, algorithmic, and real-time implementation framework for on-the-fly autonomy in crowds. The resulting methods will (i) adapt to unpredictable human interactions that introduce high
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measurement techniques/ sensors. Experience with system modelling and simulation (e.g., TRNSYS, Python, or similar tools). System and control engineering (e.g. digital twins, model predictive control) –pre
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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estimation, and implementing sensor-based feedback control strategies. The project will also explore AI-based and reinforcement learning (RL)-based control approaches to enable intelligent and adaptive robotic