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The initiative further develops the ongoing interdisciplinary collaborations of the three universities and bundles them in the new center CoAI. Axel-Cyrille Ngonga Ngomo from Paderborn University, and computer scientists Prof. Katharina Rohlfing and computer scientist Prof. Britta Wrede from Bielefeld University, psycholinguist Prof. He is developing the new research approach together with computer scientist Prof. Philipp Cimiano, spokesman for the Research Institute for Cognitive Interaction Technology (CITEC) at Bielefeld University. 'Human-robot research is forward-looking - but in science, co-construction as a guiding principle in robotics is not addressed enough,' says Prof. Excellently positioned through collaborations So how can an AI-supported robot learn to adapt to the very personal requirements of users? The scientists' answer is: like a human - by means of co-construction, i.e. For the transfer of AI technology to robotics, this is a particular problem. This makes dialogues difficult, as the AI often cannot provide meaningful answers to follow-up questions. One hurdle in using this technology, however, is that an AI does not provide a rationale that humans can understand as to why a particular prediction was made.

This allows AI to generate solutions to problems that human experts might not have thought of. One example is Deep Learning technology, which enables data-based predictions using artificial neural networks. Today, such programs already perform complex tasks that sometimes exceed the capacities of the human brain. This flexibility is a characteristic of computer programs based on artificial intelligence (AI). More powerful than the brain: artificial neural networks The scientists' goal goes beyond this: they want to break new ground in the interaction between humans and robots, enabling robots to develop completely new tasks in interaction with human users. Although there are also robots that do more complex things, fed with extremely large amounts of data and completely pre-programmed in laboratories, here too the task areas are clearly defined in advance. Until now, machines have mainly been programmed to perform a single task in factories and production halls.

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What if we could teach robots these manual skills in the same way that parents teach their children? A consortium of scientists from the universities of Bielefeld, Paderborn and Bremen wants to radically rethink the interaction between humans and machines and teach robots knowledge and manual skills in a natural way. For humans, these manual operations are a matter of course. Quality Management for Academics and Teachingįoundation for Innovation in Higher EducationĬentre for Higher Mathematics Education (khdm)įaculty of Business Administration and Economicsįaculty of Computer Science, Electrical Engineering and MathematicsĪfter breakfast, the dishes are cleared away: the empty milk carton belongs in the trash, the dirty plates in the dishwasher. Promotion of Innovation and Quality in Education Award Interdisciplinary Cooperation to Improve Quality in Teacher Education (PLAZ)

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Internal Professional Development and Further Education Paderborn Centre for Educational Research and Teacher Training - PLAZ-Professional School

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