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the necessary optics. Develop real-time MIMO DSP algorithms (implementable on FPGA) for crosstalk mitigation in the multicore fiber. What you contribute Outstanding scientific Master's degree in electrical
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, validated through simulations and experimental testbeds. Become a part of our team and join us on our journey of research and innovation! Be part of change Development and evaluation of algorithms
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it is to be expected that the environment contains obstacles or is partitioned in a way not apparent when starting the coverage plan. Classic “Coverage Path Planning” algorithms are restricted in
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and evaluation of suitable algorithms based on robustness, latency, and deployability on the robot Design of a system architecture that integrates the bridging concept into the localization stack
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obstacles blocking the view. You will develop a global pointcloud mapping pipeline consisting of a pointcloud filtering approach and a pointcloud matching algorithm. The filtering approach should utilise
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
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, reachability approaches or Bayesian filtering and develop a robust prediction algorithm. These dynamic predictions must then be integrated into a map representation to be included and used in the path planning
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Good to very good grades First experiences with algorithm development preferably using Python or MATLAB Basic understanding of Quantum Optics and Interferometry Interest to learn about Fourier optics and
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part of change Driving innovative AI research through the development and implementation, practical application, theoretical analysis and evaluation of AI and explainability algorithms Implementation
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techniques to simplify sensor calibration, analyze measurement data and develop adaptive algorithms for intelligent sensing applications. Conduct excellent research: Publish your research in leading