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Field
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creation and data entry: You create structured databases and enter measured data to enable smoother tracking and analysis for process development and characterization. Database integration with internal
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objects. Different acquisition devices are used depending on the object properties and quality requirements. A new robot-based multi-sensor platform will combine the existing technologies to enable a
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resources. Scientific Objectives: Develop a system using foundation models to detect, classify, and track both stationary and moving objects from multimodal sensor data. Integrate self-learning mechanisms
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" project team utilizes MoveIt2 to plan collision-free trajectories to pick and place objects using 5-finger robotic hands for machine loading/unloading applications. What you will do Create digital twins
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industrial objects. Different acquisition devices are used depending on the object properties and quality requirements. We research modern machine-learning methods for the analysis of an object's optical
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industrial objects. Depending on the object characteristics and quality requirements, different capture systems are applied. Calibration of 3D scanning technologies is the critical first step for the accurate
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industrial objects. Depending on the object characteristics and quality requirements, different capture systems are applied. Through regular scanning missions and assignments, 3D scans of diverse objects
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analysis Experience in one or more of the following areas is highly desirable: Hybrid modelling, neural differential equations, or physics-informed neural networks Equation discovery Bayesian inference
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of the Horizon Europe research framework program. The consortium maintains the Program Management Unit (PMU), an organizational unit responsible for program planning and program tracking. We are looking for a
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objects. Different acquisition devices are used depending on the object properties and quality requirements. A new robot-based multi-sensor platform will combine the existing technologies to enable a