Scientist working in the Haptic Intelligence Department at the Max Planck Institute for Intelligent Systems receives great media feedback on her research
Professor John Lygeros within the Center for Learning Systems has been awarded the prestigious ERC Advanced Grant to fund his research on computation and control.
Professor Peter Bühlmann within the Center for Learning Systems has been awarded the prestigious ERC Advanced Grant to fund his research on statistics, machine learning and bioinformatics.
Professor Peer Fischer, the head of the Micro, Nano and Molecular Systems Lab at the Max Planck Institute for Intelligent Systems was awarded 2.5 Mio Euro from the ERC.
Scientists at the Max Planck Institute for Intelligent Systems invented a magnetically controlled soft robot only four millimeters in size, that can walk, crawl or roll through uneven terrain, carry cargo, climb onto the water surface, and even swim in it. The inspiration comes from soft-bodied beetle larvae and caterpillars, and even jellyfishes posed as biological models. One day, this small-scale robot may enable targeted drug delivery or minimally invasive surgery, the researchers hope. Its multiple locomotion capability in complex environments is so unique that science journal Nature will publish the researchers´ findings in its February edition.
High above Lake Lucerne, the three-day CLS retreat took place at Stoos, a magnificent place in the heart of Central Switzerland.
On the occasion of Ada Lovelace Day on 10 October 2017, robohub presented their annual list of “25 women in robotics you need to know about”. Jeannette Bohg, alumni fellow of the CLS, is one of them. Congratulations!
ETH-Professor Joachim Buhmann beschäftigt sich als Informatiker intensiv mit Fragen des Gesundheitswesens. Im Gespräch mit ETH-News erklärt er, wie Computermodelle Einzug halten werden in die Medizin. Dabei spricht er von Modellen, die so kompliziert sind, dass wir Menschen sie uns nicht mehr selbst überlegen können.
Researchers at the Max Planck Institute for Intelligent Systems (MPI-IS) have developed technology to digitally capture clothing on moving people, turn it into a 3D digital form, and dress virtual avatars with it. This new technology makes virtual clothing try-on practical.
Scientists are developing tools that allow you to digitally feel textures like wood and cotton. Listen to this twelve-minute radio show to learn about Katherine J. Kuchenbecker's research - incorporating the sense of touch into robotic and computer systems.
Progress in micro- and nano-scale science and technology has created a demand for new microsystems for high-impact applications in healthcare, biotechnology, manufacturing, and mobile sensor networks. The new robotics field of microrobotics has emerged to extend our interactions and explorations to sub-millimeter scales. Metin Sitti wrote the first textbook on micron-scale mobile robotics, introducing the fundamentals of design, analysis, fabrication, and control, and drawing on case studies of existing approaches.
Genomics, digital patient files and real-time health surveillance – never before have we had access to so much health data. Three ETH researchers explain how they extract relevant information from this sea of data and the potential benefits for personalised medicine.
Cédric de Crousaz and Julian Viereck have recently received ETH medals for their excellent Master theses. Their theses are a result of very successful collaborations between the Autonomous Motion Department at MPI-IS and the Department of Mechanical and Process Engineering and the Department of Computer Science at ETH Zurich, respectively.
ETH scientists have combined millions of images and videos into a three-dimensional, living model of the city of Zurich. The new technology has many possible applications – for example, it can analyse where and when pedestrians are on the move and parking spaces become free.
Nanorobots and other mini-vehicles might be able to perform important services in medicine one day – for example, by conducting remotely-controlled operations or transporting pharmaceutical agents to a desired location in the body. However, to date it has been hard to steer such micro- and nanoswimmers accurately through biological fluids such as blood, synovial fluid or the inside of the eyeball. Researchers at the Max Planck Institute for Intelligent Systems in Stuttgart are now presenting two new approaches for constructing propulsion systems for tiny floating bodies.
Joachim Buhmann ist Leiter des Instituts für Maschinelles Lernen an der ETH Zürich. Im Gespräch erklärt er uns, warum ihn die Angstvorstellungen von Stephen Hawking kaltlassen, was der „Heilige Gral“ des maschinellen Lernens ist und warum Depressionen unausweichlich sind, wenn der Mensch lediglich als Denkmaschine gesehen wird.
Exoplanets are planets beyond our own solar system. Since they do not emit much light and moreover are very close to their parent stars they are difficult to detect directly. Using machine learning, observations of the brightness of the parent star can be used to train a system to predict the errors and correct the light curves.
Peer Fischer, head of the Micro- Nano- and Molecular Systems Lab at the Max Planck Institute for Intelligent Systems and Professor of Physical Chemistry, University of Stuttgart, has received the World Technology Award 2016. Together with his group, he has developed new 3D nanofabrication methods and nanorobots, made the first reciprocal microswimmer, and realized the first swimming soft microrobot that moves using only body shape changes.
Prof. Dr. Margarita Chli, 33, forscht als Assistenzprofessorin auf dem Gebiet «Computervision für Robotik» an der ETH Zürich. Was sie an ihrem Beruf so fasziniert und wie sie die technologische Zukunft sieht, verrät sie im Interview.
One day, microrobots may be able to swim through the human body like sperm or paramecia to carry out medical functions in specific locations. Researchers from the Max Planck Institute for Intelligent Systems in Stuttgart have developed functional elastomers, which can be activated by magnetic fields to imitate the swimming gaits of natural flagella, cilia and jellyfish.
Menschen mit körperlichen Behinderungen messen sich dank neuester technischer Assistenzsysteme in sechs anspruchsvollen Disziplinen.
Der neue Roboter der ETH Zürich kann klettern und springen wie ein Tier und soll künftig in unwegsamem Gelände eingesetzt werden. Er könnte zum Beispiel nach einem Erdbeben helfen, verschüttete Menschen zu finden.
Young, excellent and motivated - Jonas Peters has been elected as one of new members in natural sciene / mathematics to the "Junge Akademie" and will contribute to the interdisciplinary work of this organization.
Thomas Hoffmann wollte schon als Kind Professor werden. Heute arbeitet er am Institut für Maschinelles Lernen der ETH Zürich. Der 25-jährige Patrick Frei studiert Informatik im vierten Studienjahr. Hier sprechen sie über ihre beruflichen Träume – und über die Realität.
The Max Planck ETH Center for Learning Systems (CLS) invites all associated PhD fellows of the center to apply for the new CLS Exchange Fellowships. This program will allow highly motivated PhD students with excellent track records to spend 3-12 months at the other institution, ETH Zurich and MPI Tübingen/Stuttgart, respectively. The aim is to foster cross-institutional collaborations within the center and to create an added value for the PhD students.
Medal-Marathon for Robotics Researcher: Tübingen – Stockholm – Berlin – Stockholm – Tübingen. Ludovic Righetti receives within 24 hours two renowned prizes for young researchers for his outstanding science on movements of robots.
He develops walking robots that move like living creatures: Marco Hutter is an Assistant Professor at the Institute of Robotics and Intelligent Systems and a fellow of the Society in Science. One day his machines might be able to carry out the menial and dangerous work human beings would rather avoid.
Body Labs (bodylabs.com), the provider of the world's most advanced technology for analyzing the human body's shape, pose and motion, announced that Michael J. Black, Body Labs co-founder and founding director leading the Perceiving Systems Department at the Max Planck Institute for Intelligent Systems, will be inducted as a foreign member of the Royal Swedish Academy of Sciences.
Founded in 1652, the Leopoldina is one of the oldest academies of science in the world. It is dedicated to the advancement of science for the benefit of humankind and to the goal of shaping a better future. With some 1,500 members, the Leopoldina brings together outstanding scientists from Germany, Austria, Switzerland and many other countries.
Ein weicher Aktuator aus elektrisch steuerbaren Membranen könnte Menschen die gefahrlose Interaktion mit Maschinen ermöglichen. Forscher des Max-Planck-Instituts für Intelligente Systeme in Stuttgart stellen nun ein Bewegungssystem vor, das für Menschen ungefährlich ist und sich platzsparend in Roboter integrieren lässt.
Huge amounts of posts in social media are generated every day. People share their opinions and sentiments about what is going on in the world. To evaluate these opinions automatically computers can interpret and “understand” the content and also in particular the attitude of a writer. At one of the most important international competitions in text sentiment analysis two ETH Master’s students designed the most accurate algorithm worldwide. Jan Deriu and Maurice Gonzenbach won the 2016 SemEval text sentiment classification competition, placing first out of 34 teams from all over the world.
The most important German prize for junior scientists is awarded annually by the German Research Foundation (DFG). One of the awardees is Ludovic Righetti from Max-Planck-Institute for Intelligent Systems. He is investigating how robots can be taught to walk. He models his ideas on movement patterns from nature such as the climbing skills of animals.
Ciliates can do amazing things: Being so tiny, the water in which they live is like thick honey to these microorganisms. In spite of this, however, they are able to self-propel through water by the synchronized movement of thousands of extremely thin filaments on their outer skin, called cilia. Researchers from the Max Planck Institute for Intelligent Systems in Stuttgart are now moving robots that are barely perceptible to the human eye in a similar manner through liquids.
As domestic help, healthcare assistants or emergency response units: robots are suitable for these jobs only if they are capable of learning and acting independently, at least to a certain extent. Stefan Schaal and the members of his Autonomous Motion Department at the Max Planck Institute for Intelligent Systems in Tübingen are teaching machines to become flexible and autonomous.
Gastroscopy usually requires patients to swallow an endoscope tube. Although camera-carrying capsules are also suitable for the task, it is still not possible to control them. Scientists at the Max Planck Institute for Intelligent Systems in Stuttgart plan to change all that. And their tiny capsule-shaped robots can do a lot more than merely take snapshots of the stomach’s interior.
A time may yet come when everyone has their own chauffeur-driven car – if robots take the wheel, that is. In order for autonomous vehicles to become a reality without huge technical outlay, however, computers will have to be able to assess complex traffic situations at least as well as drivers do. Andreas Geiger and his team at the Max Planck Institute for Intelligent Systems in Tübingen are working to develop the necessary software.
Machines will become not just more intelligent in the future, but also more capable of learning. To promote research in this field, ETH Zurich and the Max Planck Society officially open the Max Planck ETH Center for Learning Systems today. The scientists want to understand the theoretical principles of learning and how these can be applied to real machines.
For humans, and for animals in general, it is normal; but machines have first to learn it: how to learn. To assist them in this process, the Max Planck Society and the ETH Zurich have set up the Max Planck ETH Center for Learning Systems. The researchers at the Center want to understand what the principles of learning are - in theory as well as in real machines.