{"id":7212,"date":"2024-03-06T18:14:58","date_gmt":"2024-03-06T16:14:58","guid":{"rendered":"https:\/\/aire-edih.eu\/?post_type=project&p=7212"},"modified":"2025-11-03T10:21:14","modified_gmt":"2025-11-03T08:21:14","slug":"2024-digital-twin-for-validation-of-ai-based-motion-planning-and-control-for-robot-assisted-processing-of-curved-surfaces","status":"publish","type":"project","link":"https:\/\/aire-edih.eu\/en\/project\/2024-digital-twin-for-validation-of-ai-based-motion-planning-and-control-for-robot-assisted-processing-of-curved-surfaces\/","title":{"rendered":"2024: Digital twin for validation of AI-based motion planning and control for robot-assisted processing of curved surfaces"},"content":{"rendered":"

There are many areas of automation in manufacturing that cannot be automated, or the cost of automation is extremely high for small and medium-sized manufacturing companies. One such problem is material processing with robot manipulators where the object has a complex and potentially changeable form. For instance, the object has curved surfaces, and the robot\u2019s end-effector tool needs to precisely follow this curved surface to complete a task such as milling. The goal of this project is to develop a digital twin of robot-assisted processing of curved surfaces. The digital twin will then be used to test, validate, and benchmark motion planning algorithms to achieve an accurate arbitrary path following for the end-effector along a curved surface and collision-free motion.<\/span><\/p>\n

Github<\/span><\/a><\/div>\n","protected":false},"excerpt":{"rendered":"

There are many areas of automation in manufacturing that cannot be automated, or the cost of automation is extremely high for small and medium-sized manufacturing companies. 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