At this year’s automatica trade show, the munich_i high-tech platform will highlight robotics and AI developments for the third time. More than 30 demos will be on display in the AI.Society exhibition. The i_Space stage program will include the award presentation for this year’s winner of the Robothon competition for young researchers as well as round table discussions and featured speakers. The High-tech Summit will also bring together some of the world’s leading researchers in robotics and AI.
- The AI requirements of classical robotics are more complex than language. - In environments where safety is a concern, regulation is important. - TUM ethics professor Alena Buyx: societies have the right to actively shape the use and regulation of technologies. - Prof. Klaus Diepold has doubts about the intelligence of ChatGPT. ChatGPT can make programming more efficient, write texts, act as a brainstorming partner or create design proposals. But when it comes to the deployment of generative artificial intelligence in the physical world of robotics, researchers at the Technical University of Munich (TUM) are cautious.
Lithium-oxygen batteries, often hailed as the future of rechargeable energy storage, presently face limitations that prevent their widespread adoption. One of these significant constraints is the occurrence of large overpotentials experienced during the charging process. This means that the voltage needed for charging increases substantially implying low efficiency. In a new study published in the journal "Chem", Prof. Dr. Francesco Ciucci of the University of Bayreuth and research partners in China have for the first time been able to identify and explain the causes of these overpotentials.
The use of industrial waste heat can develop into an important component of an energy industry that is independent of fossil fuels. To convert large amounts of waste heat into electricity as efficiently as possible, turbines with a high degree of efficiency are required that work with a special conversion process – the Organic Rankine Cycle (ORC). In a pilot project for the development of such a turbine, the Center of Energy Technology (ZET) of the University of Bayreuth is cooperating with TGM Kanis Turbinen GmbH in Nuremberg. The Bavarian State Ministry of Economic Affairs, Regional Development and Energy is funding the project for three years with a total of about 1.7 million euros.
The University of Bayreuth is participating in the DFG priority programme "Data-driven process modeling in forming technology" with a new interdisciplinary research project. The project is concerned with two processes that are intertwined in the industrial production of many functional components: shear cutting and collar drawing. The latest data analysis technologies and process chain modeling approaches are intended to ensure efficient and robust production. The project is managed by Prof. Dr. Agnes Koschmider, a process analytics specialist from Bayreuth, and Prof. Dr.-Ing. Verena Kräusel from the Fraunhofer Institute for Machine Tools and Forming Technology (IWU) in Chemnitz.
Growing electromobility poses new challenges for the infrastructure: Stations for charging batteries must be optimally integrated into the stationary energy network available on site. A comprehensive charging concept for different vehicle types is necessary. The goal of the joint project "eMobiGrid", in which the University of Bayreuth, three medium-sized companies and the Fraunhofer-Gesellschaft are working closely together, is to develop practical solutions for these challenges and thus accelerate the traffic turnaround. The German Federal Ministry of Digital and Transport (BMDV) is funding the project with a total of around three million euros for three years.
Researchers at the Technical University of Munich (TUM) have developed autonomous driving software which distributes risk on the street in a fair manner. The algorithm contained in the software is considered to be the first to incorporate the 20 ethics recommendations of the EU Commission expert group, thus making significantly more differentiated decisions than previous algorithms. Operation of automated vehicles is to be made significantly safer by assessing the varying degrees of risk to pedestrians and motorists. The code is available to the general public as Open Source software.
The University of Bayreuth is contributing its expertise in additive manufacturing to a major European project: The EU is funding the Hybrid ElectriC regional Aircraft distribution Technologies (Hecate) project with more than 34 million euros, which aims to make aviation more environmentally friendly. The Chair of Environmental Production Technology at the University of Bayreuth is responsible for sustainable components in the project.
Increasing the efficiency and reliability of electrolysis plants is the goal of a new international joint project at the Centre for Energy Technology (ZET) at the University of Bayreuth. Together with a German industrial partner and four Canadian partners from industry and academia, novel models as well as hardware and software applications are being developed to reduce costs in the production of green hydrogen. The German Federal Ministry of Education and Research (BMBF) is funding the project for three years, and the University of Bayreuth will receive a total of about 250,000 euros.
A research team at the Technical University of Munich (TUM) has, for the first time, produced dark-field X-ray images of patients infected with the corona virus. In contrast to conventional X-ray images, dark-field images visualize the microstructure of the lung tissue, thereby providing additional information. This approach has the potential to provide an alternative to computed tomography (CT), which requires a significantly higher radiation dose.
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