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The development and integration of precision livestock farming tools represent a key element for optimizing and designing predictive models aimed at monitoring animal welfare. Available technologies and sensors
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conduct experiments that explore novel approaches in bio-inspired AI and sensor technologies, integrating insights from biology and neuromorphic engineering for embodied intelligent systems. Algorithm
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hardware is often impractical and unsafe. Realistic simulation environments are therefore essential. NVIDIA Isaac Sim with Isaac Lab enables high-fidelity physics simulation, sensor emulation, and RL
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, the objective of this thesis is to develop and test a real-time, tightly-coupled traversability algorithm that fuses information from both sensor modalities, therefore providing a more complete understanding of
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: Brussels Photonics (B-PHOT) is seeking a Technology Expert with a background or interest in optical spectroscopic sensors to support industrial research and innovation projects in agrifood applications
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system ROS/ROS2, PX4, LiDAR, Stereo and Monocular vision, Perception, AI, ML, Path Planning Control, Sensor Fusion Algorithms;; - Previous experience in Deep Learning with LiDAR and vision systems
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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data
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of integrated and inertial navigation. The working group deals with multisensor systems, i.e. the sensor fusion of GNSS (GPS, Galileo, GLONASS, Beidou), INS (inertial navigation system), cameras, LiDAR (light
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sensing; support in choosing tip geometry, stud magazine, and interfaces to the vacuum chamber). • Co-development of algorithms for optimal welding (trajectory and force planning, adaptive parameters
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to research, develop, and evaluate algorithms for a variety of geospatial, signal, and/or image processing applications. The successful candidate will have a solid background in computer science with strong