German satellite will use AI to detect anomalies on asteroids and planets

A German satellite that will test new AI technologies in orbit for automatic detection of anomalies on planets and asteroids is set for launch.

Despite its ambitious mission, the so-called SONATE-2 is a six-unit cubesat, a type of nanosatellite that’s no bigger than a shoebox. It was designed and built by a team led by aerospace engineer Professor Hakan Kayal from Julius-Maximilians-Universität (JMU) Würzburg in Germany.

According to Kayal, projects of this sort are quite uncommon. “What is unique about our mission is that the AI is trained on board. Normally, this training is done on Earth with powerful computers,” he said.

“Let’s assume that a small satellite is to investigate a new asteroid in the solar system in the future,” Kayal explained. “It cannot be trained for this task on the ground, because the object of investigation is largely unknown.”

In typical scenarios, this would mean that data collected from space would need to be sent back to Earth and then be used to train the AI remotely — which is a lengthy process for long-distance missions. But a higher level of autonomy supported by AI on board would be much more efficient.

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SONATE-2 satellite

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