Max Planck Institute for Intelligent Systems, Tübingen site

Max Planck Institute for Intelligent Systems, Tübingen site

Intelligent systems can optimise their structure and properties in order to successfully function within a complex, partially changing environment. Three sub-areas – perception, learning and action – can be differentiated here. The scientists at the Max Planck Institute for Intelligent Systems are carrying out basic research and development of intelligent systems in all three sub-areas. Research expertise in the areas of computer science, material science and biology is brought together in one Institute, at two different sites. Machine learning, image recognition, robotics and biological systems will be investigated in Tübingen, while so-called learning material systems, micro- and nanorobitics, as well as self-organisation will be explored in Stuttgart. Although the focus is on basic research, the Institute has a high potential for practical applications in, among other areas, robotics, medical technology, and innovative technologies based on new materials.

Contact

Max-Planck-Ring 4
72076 Tübingen
Phone: +49 7071 601-1700

PhD opportunities

This institute has an International Max Planck Research School (IMPRS):
IMPRS for Intelligent Systems

In addition, there is the possibility of individual doctoral research. Please contact the directors or research group leaders at the Institute.

<p>A beacon of light for artificial intelligence</p>
The Max Planck Institute for Intelligent Systems is celebrating the opening of its new building in Tübingen more
Go-ahead for Cyber Valley

Go-ahead for Cyber Valley

News December 15, 2016
Science and industry form one of Europe's largest research partnerships in artificial intelligence more
Gentle strength for robots

Gentle strength for robots

News May 13, 2016
A soft actuator using electrically controllable membranes could pave the way for machines that are no danger to humans more

Award-winning junior scientists

News April 01, 2016
Tatjana Tchumatchenko, Tobias Erb and Ludovic Righetti receive the Heinz Maier-Leibnitz Prize 2016 more
Robot on board

Robot on board

News December 18, 2014
The robot "Athena" carries new impulses for robotics research in its luggage more
Tiny motions bring digital doubles to life
Researchers at the Max Planck Institute for Intelligent Systems unveil new technology for motion and shape capture more
On the edge of friction

On the edge of friction

News December 19, 2011
Precise insight into how two microscopic surfaces slide over one another could help in the manufacture of low-friction surfaces more
The software enables electron microscopes to extract more information about the composition of crystals more

Robots go to School

1/2016 Focus: Robotics
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.

Cars Open Their Eyes

1/2016 Focus: Robotics
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.
The life of an avatar is dependent on technology, including even the very act of its birth. For the virtual figure to look true to life and move realistically in its computer world, its creators need to have detailed information about the body of the real-life model, as well as about its movement. This is precisely the data that the first four-dimensional full-body scanner provides. This device was developed by Michael J. Black, Director at the Max Planck Institute for Intelligent Systems in Tübingen, together with American company 3dMD. With 22 stereo cameras and 22 color cameras taking 60 images per second, the scanner captures a person in various positions and activities that Javier Romero, a scientist at the institute, demonstrates here. For the scan, red and blue squares are printed on Nick Schill, a professional model, and then illuminated with a quickly pulsating spot pattern. The two patterns help the researchers reconstruct the three-dimensional surface of the body and the skin naturally. Not only can this method be used to create true-to-life figures for computer games and films, but it also offers interesting perspectives for research in psychology and medicine. In this way, it will soon be possible to use the realistic avatars in conducting perception experiments on body awareness– for instance to prevent eating disorders.

A Way Out of the Inner Prison

Material & Technology
The paralysis starts gradually, but in the course of time, it affects the entire body. People with amyotrophic lateral sclerosis eventually reach a point where they are no longer able to move any muscles or communicate with the outside world. A research group headed by Moritz Grosse-Wentrup at the Max Planck Institute for Intelligent Systems in Tübingen is looking for ways to help ALS patients break out of their isolation by teaching computers to read their minds.
Robotics or Software Engineer
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen December 07, 2017
Scientific Programmer
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen November 21, 2017
Graphics Technical Developer
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen November 09, 2017
Research Assistant (HiWi #2)
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen October 24, 2017
Research Assistant (HiWi #1)
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen October 24, 2017

Computing with Uncertainty

2017 Hennig, Philipp
Computer Science

Machine learning requires computer hardware to reliable and efficiently compute estimations for ever more complex and fundamentally incomputable quantities. A research team at MPI for Intelligent Systems in Tübingen develops new algorithms which purposely lower the precision of computations and return an explicit measure of uncertainty over the correct result alongside the estimate. Doing so allows for more flexible management of resources, and increases the reliability of intelligent systems.

more

Robots learn how to see

2016 Geiger, Andreas
Computer Science
Autonomous vehicles and intelligent service robots could soon contribute to making our lives more pleasant and secure. However, for autonomous operation such systems first need to learn the perception process itself. This involves measuring distances and motions, detecting objects and interpreting the threedimensional world as a whole. While humans perceive their environment with seemingly little efforts, computers first need to be trained for these tasks. Our research is concerned with developing mathematical models which allow computers to robustly perceive their environment. more

Learning robots

2015 Trimpe, Sebastian
Computer Science
An exploded power plant, collapsed buildings after an earthquake, a burning vehicle loaded with hazardous goods – all of these are dangerous situations for human emergency responders. What if we could send robots instead of humans? Researchers at the Autonomous Motion Department work on fundamental principles required to build intelligent robots which one day can help us in dangerous situations. A key requirement for making this happen is that robots must be enabled to learn. more

Exploring complex diseases with intelligent systems

2014 Borgwardt, Karsten
Computer Science Medicine

Physicians are collecting an ever increasing amount of data describing the health state of their patients. Is new knowledge about diseases hidden in this data, which could lead to better therapies? The field of Machine Learning in Biomedicine is concerned with the development of approaches which help to gain such insights from massive biomedical data. 

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Perceiving Systems – Computers that see

2013 Gehler, Peter Vincent
Computer Science

Our research goal is to define in a mathematical precise way how visual perception works. We want to describe how intelligent systems understand images. To this end we study probabilistic models and statistical learning. Encoding prior knowledge about the world is complemented with automatic learning from training data. One aspect is being able to identify physical factors in images, such as lighting, geometry, and materials. Furthermore we want to automatically recognize and give names to objects and persons in images and understand the scene as a whole. 

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Brain-computer interfaces – a novel type of communication

2012 Grosse-Wentrup, Moritz
Neurosciences
Brain-computer interfaces (BCIs) provide a new means of communication that does not rely on volitional muscle control. This may provide the capability to locked-in patients, e.g., those suffering from amyotrophic lateral sclerosis, to maintain interactions with their environment. Besides providing communication capabilities to locked-in patients, BCIs may further prove to have a beneficial impact on stroke rehabilitation. In this article, the state-of-the-art of BCIs is reviewed and current research questions are discussed. more
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