THI and CIT were represented at the European Robotics Forum at SDU in Odense, where they presented their results. Selecting a suitable repair programme based on measured values is a difficult problem because the results can only be assessed at a late stage and thus a certain uncertainty in the label reliability is involved. In addition, the decisions made have costly implications. These challenges have been addressed using data-centric AI methods such as confident learning or cost-sensitive learning and brought directly into industrial application in the context of automated reactive robot programming.
THI will continue to conduct intensive research on these topics in the future. Interested students are welcome to contact Prof. Dr. Schiendorfer and THI researcher Kristina Dachtler to learn more about the research opportunities at the AImotion Institute.
"We are very proud that our project was selected among the six finalists at the euRobotics aisbl Tech Transfer Award 2023," said Prof. Dr Schiendorfer. "This is a recognition of the commitment and hard work of our still young team. We will continue to work to develop innovative solutions for industry and to give students and PhD students the opportunity to participate in highly relevant research projects." Dr Christof Eberst, Managing Director of Convergent-IT GmbH added: "The cooperation with THI was flexible and result-oriented. In particular, it was refreshingly uncomplicated and the administrative effort was in good proportion to the results achieved. We were able to quickly integrate findings and code into our AUTOMAPPPS software."
THI is a leader in applied research and is dedicated to developing technologies that, among other things, shape the future of industry. The collaboration with Convergent-IT GmbH (CIT) from Haid in Upper Austria shows the importance of partnerships and the strength of innovations that are developed together.