Jacob Müller
10.10.2025
Chemnitz University smartlets show autonomous movement and communication in water, with potential uses in medicine and environmental monitoring.
University of Stuttgart
06.10.2025
At the University of Stuttgart, researchers explore viscoelastic polymers for soft robots, with future use in medicine, industry, and safety equipment.
Empa
04.04.2025
Researchers developed soft silicone actuators using 3D printing. These artificial muscles could one day support movement in humans.
10.02.2025
Additive manufacturing enables the precise production of highly complex and customized products and offers valuable advantages.
Ozbolat Lab at Penn State / Penn State
13.01.2025
Penn State researchers have unveiled a bioprinting method that accelerates tissue production 10 times faster.
Fraunhofer ISC
09.01.2025
Fraunhofer Translational Center have developed a bioreactor for long-term culturing of stem cells.
28.02.2024
UChicago engineers microscopic robots that bind immune cells, revolutionizing analysis and boosting future immunotherapy design.
Fraunhofer IZM / Volker Mai
21.12.2023
Fraunhofer IZM has developed a system to automatically measure propagation losses in optical waveguides as part of the EPho project.
ionadidishvili
14.12.2023
128 sensors and AI help decode forearm muscle patterns, enabling more natural and intuitive control of artificial limbs.14.11.2023
Design Engineer Mike Schehr, Delta ModTech, talks about the recent challenges and announces some news.
MPI-DS / LMP
19.10.2023
Scientists developed a theorem to calculate the minimum energy needed to propel microswimmers, advancing bio-inspired physics.
atercorv
18.10.2023
Researchers are developing intelligent bionic systems to improve understanding and treatment of central nervous system diseases.
Fraunhofer IBMT
12.10.2023
Researchers at Fraunhofer are working as part of an EU research project to improve control of prosthetic hands down to individual fingers.
Fraunhofer FEP
05.10.2023
KODOS project: Fraunhofer FEP and SURAGUS GmbH developed a solution for in-line process monitoring and parameter mapping in production.
Fraunhofer IPT
21.09.2023
Fraunhofer IPT in Aachen has added a new system for automated molding of high-precision optical glass components to its machinery.
Julia Siekmann, Uni Kiel
07.09.2023
Kiel University develops muscle-like hydrogel that expands and contracts quickly - ideal for soft robotics applications.
Fraunhofer ILT, Aachen
30.08.2023
AI drives automation and zero-defect production by enabling real-time quality control and will soon assist in planning and regulating processes.
iLexx
08.08.2023
Backed by €1 million from VW Foundation, researchers develop neuromorphic materials to boost adaptive algorithms for autonomous driving.
ThisisEngineering RAEng / Unsplash
01.08.2023
In Industry 4.0, networking is key - but optimizing individual machines remains crucial, as interfaces start at the machine level.
seventyfourimages
28.07.2023
In the NeuroQ project, a consortium from research and industry wants to develop sensitive sensors that enable better control of neural exoskeletons and prostheses under everyday conditions. Dr. Jan Jeske from the Fraunhofer Institute for Applied Solid State Physics IAF told us what role artificial diamonds play in this.
MPI-IS
28.03.2023
Scientists at the Max Planck Institute for Intelligent Systems, at Johannes Kepler University and at University of Colorado Boulder developed fully biodegradable, high-performance artificial muscles. Their research project marks another step towards green technology becoming a lasting trend in the field of soft robotics.
Fraunhofer IDMT / Anika Bödecker
21.02.2023
Fraunhofer developed a speech recognition system for manufacturing that works reliably in noisy settings and adapts to user needs.
AG Klinische Neurotechnologie, Charité – Universitätsmedizin Berlin
01.02.2023
Brain-computer interfaces are able to restore some mobility to paralyzed people by controlling exoskeletons. However, more complex control signals cannot yet be read from the head surface because conventional sensors are not sensitive enough. A collaboration of Fraunhofer IAF, Charité – Universitätsmedizin Berlin, University of Stuttgart and other industrial partners has taken up this challenge.