TUM Press Releases
The Indy Autonomous Challenge was held at the Indianapolis Motor Speedway on Saturday – a race completely without drivers. Nine teams from universities around the world competed against one another with race cars controlled using Artificial Intelligence (AI). The Technical University of Munich (TUM) team made the best time with an average speed of 218 kilometers per hour. That won the young researchers first place and a cash prize of one million US dollars.
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A team at the Technical University of Munich (TUM) has been working in the Providentia and Providentia++ projects to equip busy roads with advanced sensor technology. With artificial intelligence (AI), the data are digitally twinned to create a model of the real-world traffic situation. In this interview project leader Alois Knoll, a professor of Robotics, Artificial Intelligence and Embedded Systems, explains the underlying vision – and what needs to be done to keep pace with the future of digital mobility.
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BayWa AG will provide substantial financial support to the TUM Venture Lab Food-Agro-Biotech (FAB). The TUM Venture Labs, launched by the Technical University of Munich and UnternehmerTUM, compare favorably with the world’s leading start-up incubator programs. Specifically targeting key technology fields, they create dynamic ecosystems that bring together start-ups, research, investors and established companies. In the fields of sustainable agriculture and healthy nutrition, "we expect natural sciences and life sciences to join forces with artificial intelligence, robotics and sensor…
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The State of Bavaria is supporting the Technical University of Munich (TUM) and a consortium of industrial partners with a total of 15 million euros in their efforts to develop the first prototype of an artificial intelligence-based factory ("KI.FABRIK") in Bavaria by 2030. Multifunctional, highly sensitive robots will use Artificial Intelligence (AI) to co-work with humans both directly and over long distances.
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Kick-off for the factory of the future: The Munich School of Robotics and Machine Intelligence (MSRM) of the Technical University of Munich (TUM) is starting - as announced by the Bavarian state government in its high-tech agenda - its flagship initiative for the first KI.FABRIK in Bavaria. The KI.FABRIK Bayern is a completely flexible and networked location for the local, crisis-proof and profitable production of the most modern IT and mechatronic high-tech components in Bavaria.
Take part via livestream when the MSRM of TUM lays the foundation stone for the lighthouse initiative KI.FABRIK…
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How can artificial intelligence (AI) deliver lasting benefits in our everyday lives and the working world? How will intelligent robotics, as the bridge between AI and machines, revolutionize industry? And which technologies will prevail in the long term? These questions are addressed by munich_i, a brand-new robotics and AI platform of the Munich School of Robotics and Machine Intelligence (MSRM) of the Technical University of Munich (TUM), to be held as part of the online trade fair automatica sprint. The core element of munich_i is a Hightech-Summit on June 22, featuring prominent…
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Reflexes protect our bodies – for example when we pull our hand back from a hot stove. These protective mechanisms could also be useful for robots. In this interview, Prof. Sami Haddadin and Johannes Kühn of the Munich School of Robotics and Machine Intelligence (MSRM) of the Technical University of Munich (TUM) explain why giving test subjects a “slap on the hand” could lay the foundations for the robots of the future.
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Prof. Hendrik Dietz and Prof. Dr. Wolfgang A. Wall, Principal Investigators affiliated with MSRM, won ERC Advanced Grants to develop artificial viruses from DNA origami and create a computer model of the human lungs using AI.
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The Round Table on Engineers for the Future was an insightful conversation among experienced engineers about the future of a socially responsible engineering.
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A team of researchers from the Munich School of Robotics and Machine Intelligence has developed a new early warning system for vehicles that uses artificial intelligence to learn from thousands of real traffic situations. A study of the system was carried out in cooperation with the BMW Group. The results show that, if used in today’s self-driving vehicles, it can warn seven seconds in advance against potentially critical situations that the cars cannot handle alone – with over 85% accuracy.
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