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robot learning & representation learning. You will be jointly supervised by the Assistant Professors Kevin Sebastian Luck (Computational Intelligence Group) and Shujian Yu (Quantitative Data Analysis
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settings. The challenge This research project focuses on developing natural language robots to support clinical decisions. These language robots are computer programs with the ability to understand spoken
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of robotic learning. The research will especially focus on planning for small drones operating in challenging scenarios, e.g. monitoring plant parameters in greenhouses, where commonly used conventional
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feedback and past experiences. The PhD candidate will develop innovative planning algorithms which exploit elements of robotic learning. The research will especially focus on planning for small drones
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experiences. The PhD candidate will develop innovative planning algorithms which exploit elements of robotic learning. The research will especially focus on planning for small drones operating in challenging
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for state estimation and perception using multimodal sensors in mobile robotics. Towards agile sensing and inference, a series of original studies will be conducted based on uncertainty-aware kino-dynamic
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/forestry, etc. In this PhD project, we investigate novel methodologies for state estimation and perception using multimodal sensors in mobile robotics. Towards agile sensing and inference, a series of
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mobile robotics. Towards agile sensing and inference, a series of original studies will be conducted based on uncertainty-aware kino-dynamic modeling and statistical machine learning. We put equal emphasis
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Mechatronics, Robotics, Mechanical, Electrical, Biomedical Engineering or equivalent. You have profound knowledge and skills in Actuators & Sensors, System engineering, and Prototyping techniques. You have
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robot. Additional challenges are to add the thermal conditioning of the wafer and the pre-alignment of the wafer to the features of this end-effector. Key steps in this research are the understanding and