Researchers at the Max Planck Institute for Intelligent Systems unveil new technology for motion and shape capture
The new technology (MoSh) will help animators jump the “Uncanny Valley” by turning a few moving dots into detailed body shapes that jiggle and deform like real humans. Researchers at the Max Planck Institute for Intelligent Systems in Tübingen, presented their Motion and Shape Capture (MoSh) study, which appeared in the journal ACM Transactions on Graphics, at SIGGRAPH Asia in Shenzhen on December 6, 2014. Devised by a team of researchers under the direction of Michael J. Black, Director of the Perceiving Systems department, MoSh is a method that allows animators to record the three-dimensional (3D) motion and shape of a real human and digitally “retarget” it to a new body shape. With MoSh, realistic virtual humans can populate games, the Internet, and virtual reality, while reducing animation costs for the special effects industry.
Our work on realizing a microscallop and nanopropellers that can move through biological tissue is in the news. Our group appears on TV, radio, in newspapers, and on multiple news sites. (December 2014).
PhD student will present his work on probabilistic solvers for differential equations
Michael Schober' paper on probabilistic solvers for ordinary differential equations has been selected for a full oral presentation at the flagship conference of machine learning.
KIT-Zentrum für Mobilitätssysteme zeichnet Doktorarbeit von Andreas Geiger aus
Für ein autonomes Fahrzeug bedeutet eine innerstädtische Kreuzung mit mehreren Verkehrsteilnehmern eine große Herausforderung. Wie komplexe Verkehrssituationen mithilfe von Videosequenzen besser verstanden werden können, hat Dr. Andreas Geiger in seiner Doktorarbeit gezeigt. Dafür hat er am 27. November 2014 vom KIT-Zentrum für Mobilitätssysteme den Ernst-Schoemperlen-Preis verliehen bekommen.
In machine learning, we use data to automatically find dependences in the world, with the goal of predicting future observations. Most machine learning methods build on statistics, but one can also try to go beyond this, assaying causal structures underlying statistical dependences. The hope is that this also allows prediction in certain situations where systems change, for instance by interventions.
Research group leader Samuel Sánchez elected as “Innovator of the year 2014”
Tiny self-propelled motors which speed through the water and clean up pollutions along the way or small robots which can swim effortlessly through blood to one day transport medication to a certain part of the body – this sounds like taken from a science fiction movie script. However, Samuel Sánchez is already hard at work in his lab at the Max Planck Institute for Intelligent Systems in Stuttgart to make these visions come true. For his innovative research, the 34 years old chemist has now been named as Spain’s top innovators under 35 by the Spanish edition of the journal MIT Technology Review.
Micro- and nano-swimmers can be propelled through media similar to bodily fluids
Micro- or even nano-robots could someday perform medical tasks in the human body. Researchers from the Max Planck Institute for Intelligent Systems in Stuttgart have now taken a first step towards this goal. They have succeeded in constructing swimming bodies that simultaneously meet two requirements: they are small enough to be used in bodily fluids or even individual cells, and they are able to navigate through complex biological fluids.
Former director gets awarded through German Society for Materials Science
Prof. Dr. rer. nat. Dr.-Ing. e. h. mult. Günter Petzow, former director of the Max Planck Institute for Metals Resarch in Stuttgart (now Max Planck Institute for Intelligent Systems) has been nominated as honorary chairman of the German Society for Materials Science (DGM). In the society's 95 year long history, Petzow is only the second person to receive this title.
Klaus Tschira Award 2014 for Science Communication in the field of Computer Science
Tübingen / Heidelberg, October 9, 2014. Science in clear words: Dr. Sebastian Trimpe, a research scientist in the “Autonomous Motion Department" (Stefan Schaal) at the Tübingen Max Planck Institute for Intelligent Systems, has written a short, comprehensible text (in German) that describes the research he conducted during his PhD at ETH Zurich. As winner in the category of computer science, he is one of six awardees who received the Klaus Tschira Award for achievements in public understanding of science on Thursday, October 9, 2014 in Heidelberg.
Winter and Summer Term 2013 / 14 at Graduate School of Neural Information Processing / University of Tübingen
The senior master students present this years teaching awards to Dr. Moritz Grosse-Wentrup (group leader Brain-Computer-Interface group) and Dr. Daniel Braun (group leader Sensorimotor Learning & Decision Making group). Congratulations!
For website questions and technical problems please contact:
© 2018 Max-Planck-Gesellschaft - Imprint | Privacy Policy
