The JANUS camera system is the 'eye' of the JUICE mission. It will primarily provide high-resolution multispectral images of Jupiter's large moons. The camera was selected by ESA in February 2013 as ...

The German Aerospace Center (DLR) is the research centre of the Federal Republic of Germany for aeronautics and space. Its research and development work in aeronautics, space, energy, transport and ...

Research agreement between DLR and the University of Tokyo Focus on green fuels from atmospheric CO 2 Official signing in Cologne The DLR Institute of Future Fuels and the Research Center for Advanced ...

Swedish ESA astronaut Marcus Wandt controls various robotic systems on Earth from the ISS for the 'Surface Avatar' experiment. The researchers want to use the experiment to find out how time delays ...

The Mars Express mission, Europe's first interplanetary mission, and all of its experiments continue to function almost perfectly after 20 years of scientific operations. The High Resolution Stereo ...

The German Space Agency at the German Aerospace Center (DLR) and the US space agency NASA are continuing their gravity field measurements from space with the 'Gravity Recovery and Climate Experiment - ...

Researchers have tested ten new technologies to detect ice accumulation on aircraft in flight, in wind tunnels and in real-time flight tests. The best results were achieved by combining the detection ...

Together with other European participants, DLR is researching technologies for extracting water from lunar rock. It is intended to be used as drinking water, for oxygen generation or for the ...

As part of the oLAF project, DLR has been investigating intelligent load control systems for aircraft. These systems make aircraft more efficient and comfortable for passengers by detecting wind gusts ...

A laser clock developed by DLR has achieved a record level of accuracy for optical clocks, with a deviation of just one second every 30 million years. Laser clocks are set to improve satellite ...

Artificial intelligence (AI) and machine learning support the development of energy-efficient aircraft configurations. With these methods, complex flow phenomena can be predicted more quickly.

In future, it will be possible to predict the flight envelope of an aircraft with greater precision. DLR researchers have optimised the relevant prediction techniques. Focus: Aeronautics, ...