With more than 34,000 pieces of junk orbiting around the Earth, their removal is becoming a matter of safety. Researchers are using machine learning algorithms trained on simulations of space debris as part of a key project. This interesting subject came to us from EEnews Europe in their article, “Machine learning to remove space debris.”
Space junk is not a new subject for us to talk about here. There have been several articles highlighting technology’s role in this endeavor. The Data Harmony Users Group (DHUG) in 2016 was kicked off with Dr. Moriba Jah from the University of Arizona and Director, Space Object Behavioral Sciences at the Air Force Research Laboratory, who started the session by talking trash.
A project led by ClearSpace-1 will recover the now obsolete Vespa Upper Part, a payload adapter orbiting 660km above the Earth that was once part of the European Space Agency’s Vega rocket. The mission, set for 2025, aims to ensure that it re-enters the atmosphere and burns up in a controlled way.
Melody K. Smith
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