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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 9 hours ago
environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 25 days ago
of foundational models in the context of observation (mainly based on transformer architectures) Your profile # Completed university studies (Master/PhD) in natural sciences, mathematics, earth and environment
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member of the university alliance UAS 7. We offer 25,000 students and 1,000 academics from Germany and abroad an inspiring learning, research and work environment in the fields of engineering and
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. Our focus lies on AI-based perception algorithms for previously unseen scenes that allow the robot to flexibly perform various tasks in everyday environments. The planning and execution of movements
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. Compared to indoor environments, outdoor areas have uneven terrain and more unknown obstacles, which drastically reduces the performance of 2D LiDAR SLAM approaches. Instead, localization needs to capture
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In the Professional Service Robots - Outdoor research group we develop autonomous, mobile robots for a variety of outdoor applications, such as agriculture and forestry. The focus is on the development of an autonomous outdoor navigation solution as well as the hardware of the robots. One of the...
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the development of an autonomous outdoor navigation solution as well as the hardware of the robots. Environment perception is a key component for the interpretation of the surroundings of autonomous robots in
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the development of an autonomous outdoor navigation solution as well as the hardware of the robots. Compared to predictable indoor environments the outdoor areas inherit more and unknown obstacles and external
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master thesis, you will conduct focused study on how to apply federated learning methods for distributed training on resource-constraint edge environment. You will develop, implement, analyze and validate
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2026. Scientific Environment The professorship will be assigned to the Department of Aerospace and Geodesy at the TUM School of Engineering and Design. Responsibilities The responsibilities include