Researchers at the U.K.'s University of Glasgow, Fujitsu, and the satellite service and sustainability firm Astroscale together developed an artificial neural network (ANN)-based rapid trajectory design algorithm to address the removal of space debris.
Powered by Fujitsu's Digital Annealer, the quantum-inspired system determines which debris will be collected and when, and plans the optimal route to carry out the mission to save time and money.
The ANNs predicting the costs of such orbital transfers were developed with the Amazon Sagemaker toolset.
Fujitsu's Ellen Devereux noted that the technology “has huge implications for optimization in space, not only when it comes to cleaning up debris, but also in-orbit servicing and more."
From Computer Weekly
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