Musculature and machinery

From biomechanics to biorobotics together with partners in BITS.

Andreas Bulling, US
Martin Giese, UT
Daniel Häufle, UT
Winfried Ilg, UT
Syn Schmitt, US

[Photo: Max Kovalenko]

Seizing opportunities

Prof. Laura Na Liu and her team are working at the interface between nanophotonics and DNA nano engineering.

Laura Na Liu, US

[Photo: Max Kovalenko]

Personalized medicine with smarter band-aids

New materials designed to enable the controlled release of active ingredients in band-aids.

Stefan Laufer, UT
Sabine Ludwigs, US
Dominique Lunter, UT
Holger Steeb, US

[Photo: Sven Cichowicz]

Fingertip sensitivity for robots

A thumb-shaped sensor with a camera hidden inside is trained to infer haptic contact information.

Katherine J. Kuchenbecker, MPI-IS
Georg Martius, UT

Shaping the future: Hydrogel muscles empowering advanced information encryption

Recent research has introduced an innovative strategy for achieving precise transformations of microscale metastructures actuated by hydrogel artificial muscles.

Aniket Pal, US
Metin Sitti, MPI-IS

Soft Functional Materials for the Next Generation of Robots

In a Comment for Nature Materials entitled “Shaping the future of robotics through materials innovation” new soft robotic technology is discussed.

Christoph Keplinger, MPI-IS
Philipp Rothemund, US

SSTeP KiZ project presents multimodal sensor setup at Data for Health Conference in Berlin featuring Karl Lauterbach

The SSTeP KiZ project was represented at the Data for Health Conference in Berlin, organized by the Federal Ministry of Health. The two-day event featured discussions on best practices regarding health data and transatlantic access.

Andreas Bulling, US
Martin Giese, UT
Winfried Ilg, UT
Tobias Renner, UT

What Magnetic Fields Do in the Brain – And How to Observe It

Tübingen Neuroscientists have developed a method to measure brain activity during transcranial magnetic stimulation (TMS). A better understanding of TMS could contribute to the further development of this non-invasive, pain-free diagnostic and therapeutic tool.

Alia Benali, UT
Martin Giese, UT
Cornelius Schwarz, UT
Ulf Ziemann, UT