Andreas Geiger has been awarded the KIT Doctoral Award
In his PhD thesis, Andreas Geiger has developed algorithms for 3D scene perception in autonomous vehicles which can help to improve traffic safety, reduce traffic jams and enable car rides for elderly or visually impaired people. His approach combines visual recognition using stereo cameras with probabilistic models which are able to determine the location and orientation of roads, lanes and other traffic participants.
Intelligent Systems Research: Spanning the Length Scale
Stuttgart / Tübingen. Five years of basic research is secured: The physicist Dr. Laura Na Liu and the computer scientist Dr. Ludovic Righetti, both from the Max Planck Institute for Intelligent Systems, receive an ERC Starting Grant of 1,5 Million Euro, respectively. Prof. Jan Peters, head of the robot learning group at the institute (while mainly active as full professor at the TU Darmstadt) will invest part of his ERC starting grant into his research group at the institute. The researchers have won against 3.273 applicants - only 10 per cent of the submitted project appraisals receive the requested award, granted by the European Research Council (ERC).
The robot "Athena" carries new impulses for robotics research in its luggage
Travelling from Los Angeles to Frankfurt onboard of Lufthansa flight LH 457, the passenger arrived on December 16, at 11.05 a.m. with no signs of jet lag: this was no ordinary holidaymaker, after all, but the first humanoid robot to take up a seat on a commercial flight. And despite causing quite a stir when boarding the plane in Los Angeles, Athena, dressed in a T-shirt and fetching red shoes, received no special treatment: like most of us, she flew economy class. During the nine-hour flight, the robotic creation was accompanied by scientists from the Max Planck Institute for Intelligent Systems. Athena made her way from Los Angeles to Tübingen in order to acquire many new skills: standing, balancing, walking - and various other meaningful activities, which she can use to assist people in daily life.
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.
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.
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!
Tübingen Scientist receives award for outstanding achievements in Computer Science
Prof. Dr. Bernhard Schölkopf, Director at the Tübingen Max Planck Institute for Intelligent Systems, was awarded the 2014 Royal Society Milner Award for being a pioneer in machine learning whose work defined the field of “kernel machines” which are widely used in all areas of science and industry. The Royal Society Milner Award, supported by Microsoft Research, is given annually for outstanding achievement in computer science by a European researcher. The winner of the award receives a medal and a personal prize of £5,000. Prior to the award ceremony end of November 2014, Schölkopf is invited to deliver a public lecture on his research at the Society.