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3D Nanofabrication of high-resolution X-ray focusing lenses

  • 20 July 2018

Scientists at the Max-Planck-Institute for Intelligent Systems developed advanced lenses for X-Ray microscopes to be able to see inside of materials in high resolution of only a few nanometers in size. Their unique layer-by-layer 3D fabrication method allows them to build extremely precise multilayered diffractive lenses with virtually unlimited aspect ratios.

Gisela Schütz Linda Behringer

Funded Ph.D. positions available at IMPRS-IS

  • 20 July 2018

Want to contribute to world-leading research in areas such as machine learning, computer vision, robot dynamics and control, micro- and nano-robotics, or haptics? Then sign up for the International Max Planck Research School for Intelligent Systems or IMPRS-IS now!

Leila Masri

Maschinelles Lernen: Neue Methode ermöglicht genaue Extrapolation

  • 13 July 2018

Wissenschaftler entwickeln neue maschinelle Lernmethode, die Roboter sicherer machen kann - Methode ermöglicht einfachere und intuitivere Modelle von physikalischen Situationen

Text: Pressestelle IST. Um den sicheren Betrieb eines Roboters zu gewährleisten ist es entscheidend zu wissen, wie der Roboter unter verschiedenen Bedingungen reagiert. Aber woher soll man wissen, was einen Roboter stört, ohne ihn tatsächlich zu beschädigen? Eine neue Methode, die Wissenschaftler des Institute of Science and Technology Austria (IST Austria) und des Max-Planck-Instituts für Intelligente Systeme entwickelten, ist die erste Methode für maschinelles Lernen, welche Beobachtungen, die unter sicheren Bedingungen getroffen wurden, nutzt, um genaue Vorhersagen für alle möglichen Bedingungen zu treffen, die von der gleichen physikalischen Dynamik bestimmt werden. Die Methode ist speziell für reale Situationen entwickelt und bietet einfache, interpretierbare Beschreibungen der zugrundeliegenden Physik. Die Forscher stellen morgen ihre Ergebnisse auf der diesjährigen renommierten International Conference for Machine Learning (ICML) vor.

Georg Martius

Talk by Robin Thandiackal, anguilliform swimming, 2p4 in Stuttgart MPI IS, 11am July 9th

  • 09 July 2018

Modeling anguilliform swimming, robotic swimming

Anguilliform swimming is a locomotor mode that has been preserved for millions of years and is used by many different animals such as eels, lampreys, salamanders or leeches. Aside from highly energy efficient locomotion characteristics, studying the nervous system of anguilliform swimmers has shed light on many aspects of neural control in the past, e.g. on the neural structure of C. elegans. In addition, these studies have helped to reveal mechanisms in the spinal cord (nerve cord in invertebrates) responsible for locomotion. In this context researchers have for instance discovered so-called Central Pattern Generators (CPGs), which represent distributed neural networks that spontaneously produce rhythmic activity. Besides these open-loop pattern generators the role of corresponding local feedback mechanisms has been studied much less. While it is hard to analyze and understand such feedback loops in living animals, due to the highly interconnected nature of the sensorimotor apparatus, comprehensive models offer a great way to identify key mechanisms and their contribution in locomotion control. In this talk, I will present our recent modelling work on local feedback based anguilliform swimming. By using distributed force feedback and phase oscillators in a simulated viscoelastic body and a hydrodynamic environment, we were able to discover new travelling wave generation mechanisms in elongated swimmers. These results highlight the importance of neural feedback mechanisms and open a new venue for decentralized control of anguilliform swimming robots.

Steve Heim Alexander Sproewitz

Vector Foundation 2018 MINT-Innovation Grant

  • 03 July 2018

Congratulations to Mariana Alarcón-Correa and Vincent M. Kadiri

Mariana Alarcon-Correa Vincent Mauricio Kadiri

DynaMAX Projekt erhält großzügige Mittel vom BMBF

  • 29 June 2018

Das Bundesministerium für Bildung und Forschung unterstützt Projekt des Max-Planck-Instituts für Intelligente Systeme innerhalb des Deutsch-Schwedischen Großforschungsprojekts Röntgen-Ångström-Cluster mit 1,2 Millionen Euro. Ein Drittel davon gehen für das Teil-Projekt DynaMAX nach Stuttgart.

Gisela Schütz Linda Behringer

A multifunctional, multiscale, reconfigurable surface

  • 28 June 2018

Composite surface has features that can move microparticles, mix droplets, repel biofilms and more.

Wendong Wang

Jia-Jie Zhu receives the Marie Curie Individual Fellowship

  • 27 June 2018

A prestigious junior scientist fellowship is awarded to the MPI-IS researcher

Jia-Jie Zhu Georg Martius

MPI-IS Researchers high in demand to give keynote speeches

  • 27 June 2018

Several scientists from the Max Planck Institute for Intelligent Systems have recently given keynote speeches at some of the most important conferences in their fields.

Katherine Kuchenbecker Metin Sitti Peer Fischer Sebastian Trimpe Linda Behringer

Smart Materials Engineer choses MPI-IS for his NSERC Postdoctoral Fellowship

  • 22 June 2018

Dr. Hamed Shahsavan receives a prestigious Postdoctoral Fellowship from the Natural Sciences and Engineering Research Council (NSERC) of Canada, the country´s federal funding agency for university-based research and student training in natural sciences and engineering. The smart materials engineer choses the Max Planck Institute for Intelligent Systems for his research stay because of the state-of-the-art facilities provided there.

Hamed Shahsavan Metin Sitti Linda Behringer