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New YouTube Channel

  • 01 March 2014

Check out our YouTube Channel !

We have uploaded the videos from last years Machine Learning Summer School in Tuebingen (MLSS 2013).

Claudia Daefler Jonathan Williams

Apollo likes girls... - girls like robots!

  • 01 March 2014

During this year´s Girls Day on March 27, fifteen girls visited the humanoid robot "Apollo" in the Autonomous Motion Department. Furthermore they spent a while in the Empirical Inference Department learning about Computational Imaging. The girls also had a lot of fun programming the two little Nao robots. Furthermore they even managed the challenge to construct a simple lens system. Thanks to our colleagues Jeannette, Felix, Michael, Julia, Andrea and Claudia who allowed Girls Day to be a special day at the institute. Hopefully it will motivate some of the girls to orientate themselves towards nature sciences and technology.

Claudia Daefler Jeannette Bohg Andrea Odermatt Felix Grimminger

Laura Na Liu awarded with Heinz Maier-Leibnitz-Prize

  • 20 February 2014

Nanoscientist receives important award for young academics

Laura Na Liu


  • 10 February 2014

Our lab's collaborative work is covered as featured research by Science Daily.

Metin Sitti


  • 01 February 2014

Professor Sitti is named as IEEE Fellow.

Metin Sitti

Collaborative work

  • 28 January 2014

Our lab's collaborative work on "Untethered microrobotic coding of three-dimensional material composition" with Harvard Medical School (Prof. Utkan Demirci) is published in Nature Communications.

Metin Sitti

Guest Editor

  • 24 January 2014

Peer Fischer is guest editor for the Nanoscale themed issue on “Helical Micro- and Nanostructures” (Nanoscale, 2014).

Peer Fischer

Good luck

  • 15 January 2014

Our lab's recent graduate Dr. Eric Diller will be an assistant professor at the University of Toronto (Mechanical and Industrial Engineering Department) from January 2014.

Metin Sitti

The geometry of cancer cells

  • 05 December 2013

Malignant and healthy cells display characteristic fractal patterns, which can be used to tell them apart

new approach has given rise to the hope for a faster and more reliable method for determining cancer cell types. Scientists from the Max Planck Institute for Intelligent Systems in Stuttgart and the University of Heidelberg found that cells can be very accurately characterised using fractal geometry. This theory describes objects whose minute structural details resemble their larger contours. Cancer cells are not able to regulate their growth and, as a consequence their shape, as effectively as healthy cells. The particular fractal geometry of a cell therefore becomes a marker of the cell type. Using this mathematical method in combination with sophisticated image recognition, it is possible to establish the progression of cancer in a cell. The researchers studied the statistical distribution of the occurrence of structural details on the surface of different tumour cells, and were thus able to identify cancer cells with more accuracy than when using the conventional immunohistological method. Moreover, they were able to distinguish between different tumours.

Michael Black awarded 2013 Helmholtz Prize

  • 01 December 2013

2013 Helmholtz Prize honors Michael J. Black's work on robust optical flow estimation described in the ICCV 1993 paper with P. Anandan on "A framework for the robust estimation of optical flow."

Michael Black