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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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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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of digitalisation, Discrete Element Methods and robotics. The focus is on sustainibility of the use of resources, environmental protection and safety.By improving the processes in transport of H-DRI a contribution to
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your own lectures, tutor students and participate in administration. 50% of the working time is reserved for the thesis. Main Tasks: • dissertation in the area of Robotics, Computer Vision and Machine
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your own lectures, tutor students and participate in administration. 50% of the working time is reserved for the thesis. Main Tasks: • dissertation in the area of Robotics, Computer Vision and Machine
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will hold your own lectures, tutor students and participate in administration. 50% of the working time is reserved for the thesis. Main Tasks • dissertation in the area of Robotics, Computer Vision
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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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to be filled Interest in the simulation and realization of hardware components for future robotic systems Programming skills in at least one of Matlab, C/C++, Python, ROS Fluent written and spoken English