News & Awards

Physical Intelligence News 13-04-2025 Ren Hao Soon named 2025 Schmidt Science Fellow Pioneering researcher in magnetic millirobotics to pivot into biomedical sciences with prestigious fellowship
Thumb ticker sm renhao soon
Physical Intelligence News 17-03-2025 Magnetic microalgae on a mission to become robots Scientists at the Max Planck Institute for Intelligent Systems developed a single-cell green microalgae coated with magnetic material. This miniature robot was put to the test: would the microalgae with its magnetic coating be able to swim through narrow spaces and, additionally, in a viscous fluid that mimics those found in the human body? Would the tiny robot be able to fight its way through these difficult conditions? The team's research has now been published in the journal Matter. Metin Sitti Birgül Akolpoglu Saadet Baltaci
Thumb ticker sm magnetic microswimmer
Empirical Inference News 06-03-2025 Neural network deciphers gravitational waves from merging neutron stars in a second Machine learning method could revolutionize multi-messenger astronomy Binary neutron star mergers emit gravitational waves followed by light. To fully exploit these observations and avoid missing key signals, speed is crucial. In a study to be published in Nature on March 5, 2025, an interdisciplinary team of researchers presents a novel machine learning method that can analyze gravitational waves emitted by neutron star collisions almost instantaneously – even before the merger is fully observed. A neural network processes the data and enables a fast search for visible light and other electromagnetic signals emitted during the collisions. This new method could be instrumental in preparing the field for the next generation of observatories. Maximilian Dax Bernhard Schölkopf Jakob Macke
Thumb ticker sm thumb ticker thumbnail web is
Physical Intelligence News 07-11-2024 3D robot navigation could enable multi-site medical procedures Scientists at the Max Planck Institute for Intelligent Systems in Stuttgart, Germany, developed a novel method for deploying several magnetic miniature robots which can easily navigate through a 3D matrix resembling a network of blood vessels. This new method could one day enable the simultaneous treatment of multiple locations in hard-to-reach areas of the human body, which is currently unattainable with conventional tools. This innovative approach could significantly reduce procedure time and increase the effectiveness of minimally invasive therapies. Chunxiang Wang Tianlu Wang Li Mingtong Rongjing Zhang Metin Sitti
Thumb ticker sm brain1
Physical Intelligence News 11-04-2024 Cyber Valley grants 500K to CELL’n’ROLL via 2023 Innovation Fellowship Program Cyber Valley Community is advancing diagnostics for the future CELL’n’ROLL aims to develop next-generation diagnostic solutions for detecting complex diseases such as cancer. Alp Can Karacakol Erdost Yildiz Ugur Bozuyuk
Thumb ticker sm cellnroll graphic
Empirical Inference News 01-01-2024 Zhijing Jin receives three Rising Star Awards Ph.D. student Zhijing Jin receives the EECS Rising Star, Rising Star in Data Science, and Rising Star in Machine Learning award. Her research focuses on socially responsible NLP by causal inference. Zhijing Jin Bernhard Schölkopf
Thumb ticker sm zhijing jin low res
Robotic Materials Physical Intelligence News 06-10-2023 Eine Qualle steht Modell Test Sie gelten nicht als Sympathieträger der Meere, doch in puncto Unter- wasserantrieb setzen sie Maßstäbe: Nicht zuletzt weil Quallen besonders effizient schwimmen, hat ein Team des Max-Planck-Instituts für Intelligente Systeme in Stuttgart einen Roboter nach dem Vorbild der Nesseltiere konstruiert. Jellyfish-Bots könnten in Zukunft helfen, besonders empfind- liche Ökosysteme wie Korallenriffe von Plastikmüll zu befreien. Tianlu Wang Hyeong-Joon Joo
Thumb ticker sm jelly
Learning and Dynamical Systems Embodied Vision Empirical Inference News 06-10-2023 Roboter entdecken die Welt Forschende vermitteln Robotern eine Art Körpergefühl Roboter können den Menschen heute bereits bei manchen alltäglichen Aufgaben unterstützen. Doch unbekannte Umgebungen oder auch kleine Abweichungen in den Aufgaben, auf die sie trainiert sind, überfordern sie. Damit sie rascher lernen, sich auf Neues einzustellen, entwickeln die Forschungsgruppen von Michael Mühlebach und Jörg Stückler am Max-Planck-Institut für Intelligente Systeme in Tübingen neue Trainingsmethoden für die Maschinen. Ihre Roboter müssen sich dabei auch im Pingpong oder Bodyflying bewähren. Michael Muehlebach Jörg Stückler Dieter Büchler Hao Ma
Thumb ticker sm 20230816 muehlenbach stueckler 29 kopie
Physical Intelligence Blog Post 22-08-2023 Blog: Shaping the future: Hydrogel muscles empowering advanced information encryption Recent research led by Professor Metin Sitti at the Physical Intelligence Department of the Max Planck Institute for Intelligent Systems has introduced an innovative strategy for achieving precise transformations of microscale metastructures actuated by hydrogel artificial muscles. Mingchao Zhang Metin Sitti Aniket Pal Zhiqiang Zheng Gaurav Gardi Erdost Yildiz
Thumb ticker sm 2023 mingchao mona lisa allein
Physical Intelligence News 18-08-2023 Soft Robotic Tool provides new 'eyes' in endovascular surgery The magnetic device can help visualise and navigate complex and narrow spaces Scientists at the Max Planck Institute for Intelligent Systems in Stuttgart have developed a soft robotic tool that promises to one day transform minimally invasive endovascular surgery. The two-part magnetic tool can help to visualise in real time the fine morphological details of partial vascular blockages such as stenoses, even in the narrowest and most curved vessels. It can also find its way through severe blockages such as chronic total occlusions. This tool could one day take the perception of endovascular medical devices a step further. Metin Sitti Tianlu Wang Yingbo Yan Rongjing Zhang Wenqi Hu
Thumb ticker sm yingbo
Empirical Inference News 05-07-2023 Computer scientist Zeynep Akata Schulz receives the €1 million Alfried Krupp Prize 2023 The 37-year-old researcher specializes in machine learning at the University of Tübingen Zeynep Akata
Thumb ticker sm zeynep akata