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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Alexander König, founder of Reactive Robotics, talks about VEMO, a robot developed to help intensive care patients walk, and the cooperation with the MSRM
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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 “Modeling and Rehabilitation Robotics” research team developed a safe and minimalistic control and learning (AI) algorithm, which automatically finds and provides the optimal balance between rigid support and “soft” guidance for any given patient during therapy. This assist-as-needed (AAN) control strategy is being commercialized in collaboration with the high-tech startup Reactive Robotics and Schön Klinik Bad Aibling, as part of a robotic assistive device called VEMO, used for the early rehabilitation of ICU patients.
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TUM Venture Labs aim to strengthen the startup ecosystem and attract more technological capital in the greater Munich area. The initiative offers educational programs, venturing support, and an ecosystem consisting of events, networks, and infrastructure that interdisciplinary teams can use to bring research results and ideas into a viable business venture. One of the many venture labs is the TUM Venture Lab Robotics/AI.
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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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One of our CyberTum teams will compete in the Powered Arm Prosthesis Race at the CYBATHLON championship pioneered by ETH Zürich. Simona, the pilot of Cybaria one, will use this prosthesis in six tasks at the Munich School of Robotics and Machine Intelligence’s facility.
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Massive expansion of artificial intelligence research at TUM
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Bavarian government hosts high-tech summit at Technical University of Munich
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A new "flagship partnership" starts between Munich and London. In addition to joint projects, this also includes a doctoral program.
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