Innovation

Remote robot teaching is unlocking new possibilities in fields like surgery, aerospace, and manufacturing—allowing experts to train machines from anywhere in the world. MIRMI researcher Başak Güleçyüz of the chair of Media Technology of Technical University of Munich (TUM) explains how her team tackles the challenge of network delays and why industry leaders are already taking notice. [read more]

Researchers at the Technical University of Munich (TUM) have developed a modular system that helps stroke patients regain movement in paralyzed arms and hands shortly after the event. The system combines an exoskeleton, targeted electrical stimulation, and a digital twin to provide personalized support. [read more]

Autonomous tractors in the field must be able to recognize people safely. Otherwise, it is impossible to send these vehicles off without a driver. With the help of a new safety model, Prof. Timo Oksanen of the Chair of Agromechatronics at the Technical University of Munich (TUM) can rule out errors with almost 100 percent certainty. [read more]

Maximilian Rettinger and his team at the Chair of Human-Machine Communication at the Technical University of Munich (TUM) are working on an interactive mixed reality method to enable robots to be programmed faster and without prior technical knowledge in the future. The aim is to make control more intuitive, simpler, and significantly more efficient. [read more]

A researcher at MIRMI, together with researchers from Örebro University, has developed an innovative approach to radar odometry, which earned the 'Best Paper Award in Computer & Robot Vision' from the IEEE RAS Technical Committee on Computer & Robot Vision. Their work introduces CFEAR (Continuous Frequency Extended Adaptive Registration). This method surpasses existing algorithms in accuracy and generalizability across diverse environments, including smoky, dusty, or foggy conditions. We asked Prof. Achim Lilienthal three questions about this innovative method and its impact on radar odometry. [read more]

With his findings on motion planning and control for tactile manipulation, MIRMI researcher Erfan Shahriari earned the Georg Giralt PhD Award on the stage of the ERF 2025. His approach addresses robustness as well as energy-awareness. It is even already being used in practice. [read more]

A team led by start-up Olive Robotics and TUM Professor Eckehard Steinbach took third place in this year's euRobotics Technology Transfer Award with the topic ‘olixSense - AI-Powered Inertial Measurement Unit for Advanced Robotics’, out of 17 submissions. The award was presented at the European Robotics Forum (2025) in Stuttgart. [read more]

These five highlights of geriatronics research from 2024 show the potential of care assistance robotics. Research in the field of geriatronics has been underway at the TU Munich campus in Garmisch-Partenkirchen for over five years. First and foremost is the GARMI care assistance robot. It is set to develop into an all-in-one helper and later assist nursing staff. GARMI's repertoire already includes a lot, from simple pick-up and delivery services to possible physiotherapeutic use in the rehabilitation of patients and telemedical applications such as ultrasound.  If you want to know how much… [read more]

Almost a year and a half ago, two graduates from the Technical University of Munich, Said Derbel and Yamen Mohisn, founded SmartAIs with Sascha Preget on the commercial side and Anika Watzka, responsible for product and design. Their mission is to make life easier for blind people with the help of artificial intelligence. [read more]

Sebastian Steinhorst wants to make intelligent networked systems as powerful and efficient as possible, sees immense potential in generative AI, and works with Siemens on the industrial metaverse. Among other things, the industrial company is helping the professor from the Technical University of Munich, who is associated with MIRMI, to subject new developments to a reality check. An interview by Katharina Frantz [read more]