Innovation

Robotics – the term often suggests drones, humanoid machines, or collaborative robot arms. At TUM MIRMIs Intelligent Bio-Robotic Systems Group, the focus goes beyond that: wearable robotics that work directly on the human body. Instead of taking over tasks, these exosuits are designed to help people regain their own abilities. [read more]

Researchers at TUM have developed a robotic system that can provide critical treatment for life-threatening tension pneumothorax—even during medical evacuation flights. [read more]

Jia Chen measures greenhouse gases and air quality in Munich at nearly 150 stations. Greenhouse gases, nitrogen oxides, particulate matter: nothing escapes the attention of the professor of environmental sensor technology and modelling at the Technical University of Munich and head of the environment department at TUM MIRMI. For the first time, she is enabling the city of Munich to monitor greenhouse gases precisely – and is accompanying Munich on its path to climate neutrality by 2035. [read more]

Needles are often difficult to detect in the body during surgical procedures using ultrasound. A research team from the Chair for Computer Aided Medical Procedures (CAMP) at the Technical University of Munich (TUM) has now developed a method that causes needles to vibrate slightly, making them visible. Doctoral student Dianye Huang was awarded the Best Innovation Award for this achievement at the Multi-Scale Medical Robotics Centre (MRC) Symposium 2025. [read more]

From June 24 to 27, 2025, the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich will showcase around 25 demonstrations on robotics and artificial intelligence at automatica. Under the umbrella of the high-tech platform munich_i, TUM and the Robotics Institute Germany will appear together, connecting research, industry, and startups. [read more]

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]

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]