MIRMI News

Prof. Lorenzo Masia moved from Ruprecht Karls University Heidelberg to the Technical University of Munich (TUM) on 1 October 2024. The expert in biorobotics and exosuits will become Deputy Director of the Munich Institute of Robotics and Machine Intelligence (MIRMI). [read more]

Under the motto ‘Entdecken, Checken, Wissen’, researchers will be showing what they are working on at over 70 stations on the research campus. MIRMI is also represented there with drones, a surgical robot and artificial hands. MIRMI researchers will be presenting their demos at the TUM Technikum in the Siemens Technology Centre. The event starts on 3 October at 10 am. [read more]

The European Research Council (ERC) awarded nine ERC Starting Grants to TUM researchers, recognising their impressive work in science and technology innovation. One of the recipients is Prof. Berna Özkale Edelmann, for her research in the field of nano- and microrobotics. [read more]

Oliver Hausdörfer, along with seven other students, won first prize at the Robotics Competition of the Robotics Summer School at ETH Zurich. The challenge was to develop a robot that autonomously explores its environment and detects artifacts. Hausdörfer is a PhD student at the Chair of Safety, Performance, and Reliability of Learning Systems at the Technical University of Munich (TUM). [read more]

Ideally, a robot arm should move like a human arm. This is why researchers from the Chair of Media Technology at the Technical University of Munich (TUM) are looking at how stiff a human arm is when it performs specific tasks. Researcher Zican Wang explains why haptic sensors and a newly developed controllers are essential for this. [read more]

In this interview, Diego Prado, a doctoral candidate at the Chair of Media Technology and researcher at the KI.FABRIK project, discusses their paper and work which was nominated for the IEEE Best Paper Award, looking at how integrating reinforcement learning with human demonstrations accelerates robot learning and bridges the simulation-to-real-world gap, even with imperfect human demonstrations. [read more]

Predicting pedestrian movements can often be achieved with only the last second of observation. Moreover, AI-based approaches don't always offer the expected advantages. These are the findings of a new research study from the Chair of Automotive Technology at the Technical University of Munich (TUM). Insights from PhD student Nico Uhlmann. [read more]

The Third Annual Geriatronics Summit 2024 brought together AI and robotics researchers, care providers, and the general public from over 16 countries and 40 institutions to discuss the application of AI and robotics in improving care for older adults and individuals with disabilities, benefiting both patients and carers alike. [read more]

Area cameras reach their limits in foggy, rainy conditions, or at night. Event-based cameras are better suited for these scenarios. Researchers from the Chair of Robotics, Artificial Intelligence, and Real-Time Systems at the Technical University of Munich have developed a method to fuse the data streams of these different camera systems. Doctoral student Christian Cress explains how it works. [read more]