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or a Scandinavian language is also beneficial. The following are considered beneficial: solid theoretical background in robot perception and navigation deep foundation in modern machine learning solid
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 1 day ago
TU Dresden or UCL may attend online. Application deadline See our website (https://imprs-coni.mpg.de/application-dates) for further information. Tuition fees per semester in EUR None Combined Master's
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to elucidate neurobiological mechanisms of cognition broadly defined. A research program in Cognitive Neuroscience could include a focus on basic attention, perception, motor skill, affective processes, learning
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, but are not limited to, agricultural robotics, autonomous vehicles, marine robotics, motion planning and localization, multi-robot coordination, robot learning, robot perception, aerial vehicles
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-the-loop control for extreme robotics applications, including high performance algorithms for 3D perception, model predictive control, reinforcement learning, generative AI, and simulation and virtual
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instructors provide assistance to students in their learning process by utilizing all appropriate college resources, materials, facilities, and educational technologies available to complement the teaching and
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instructors provide assistance to students in their learning process by utilizing all appropriate college resources, materials, facilities, and educational technologies available to complement the teaching and
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: Reporting to the campus department instructional leader, adjunct instructors provide assistance to students in their learning process by utilizing all appropriate college resources, materials, facilities, and
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environments This PhD project investigates the use of digital technologies (environmental sensing, user feedback loops, computer vision, machine learning) and theories of human perception and behavioral nudging
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researchers from IDLab-AIRO (robotic experts) and imec. Your main tasks include: Reviewing literature on decentralized control frameworks in the domain and machine learning algorithms compatible with