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high-performance visual quality inspections of products in manufacturing plants and production processes . At present, we are transferring our machine vision knowledge to the domain of robotic-assisted
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, for e.g.: Railway / Public Transport, Construction Industry, Logistics & Transportation, Agriculture & Forestry as well as in Aviation. Automated robotic systems perceive the environment and can classify
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product quality, increase flexibility, and boost resource efficiency. Applications are found in the fields of mechatronics, robotics, and industrial production facilities. In forestry, most activities
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enhance product quality, increase flexibility, and boost resource efficiency. Applications are found in the fields of mechatronics, robotics, and industrial production facilities. The Master Thesis is part
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on sensor and IoT systems on unmanned robots or aircraft (drones) in the event of the release of biological, chemical or radiological hazardous substances (CBRN), for example in the event of disasters.
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on sensor and IoT systems on unmanned robots or aircraft (drones) in the event of the release of biological, chemical or radiological hazardous substances (CBRN), for example in the event of disasters.
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processes. In addition to this, we specialise on transferring high-speed machine vision knowledge to the domain of robotic inspection, investigate different low-latency sensor solutions for their usability in
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energy applications like electronics and drive systems, via (large-scale) robotics to heavy industrial applications. We are working in projects in cooperation with national and international research
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from low energy applications like electronics and drive systems, via (large-scale) robotics to heavy industrial applications. We are working in projects in cooperation with national and international