News

“Is AI advancing fast enough?”. The expert panel will discuss topics such as AI in Germany, international competition, scientific and economic potential and how to shape international partnerships. The online seminar will be held in English. Participation is free. Tune in on May 5 from 13:00 to 14:00 (CEST). The event is organized by Automatica. [more]

Alexander König, founder of Reactive Robotics, talks about VEMO, a robot developed to help intensive care patients walk, and the cooperation with the MSRM [more]

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. [more]

MSRM warmly welcomes Prof. Dr.-Ing. Sandra Hirche, who will lead the AI sector at the MSRM Science Board together with Prof. Dr.-Ing. Klaus Diepold. [more]

Listen to Prof. Sami Haddadin's talk about "Digitized Presence in the Era of Intelligent Robotic Avatars at this year‘s Bitkom Big-Data.AI Summit. Starting tomorrow (21st April) at 13:50 MESZ. Register for free at http://Big-Data.AI [more]

The Round Table on Engineers for the Future was an insightful conversation among experienced engineers about the future of a socially responsible engineering. [more]

We have great news: Robothon® – The Grand Challenge 2021 as part of munich_i goes digital! Apply as a team until 23:59 CEST 30 April 2021 on our website at www.robothon-grand-challenge.com. [more]

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. [more]

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. [more]

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. [more]