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2022, THE JOURNAL OF THE ASTRONAUTICAL SCIENCES, Pages -

A Moon Optical Navigation Robotic Facility on Simulated TERrain: MONSTER (04c Atto di convegno in rivista)

Latorre Francesco, Carbone Andrea, THOTTUCHIRAYIL SASIDHARAN Sarathchandrakumar, Ciabatti Giulia, Spiller Dario, Curti Fabio, Capobianco Roberto

This work presents MONSTER, a Moon optical navigation robotic facility on simulated terrain, i.e., an experimental facility that can be used to simulate lunar navigation problems. The facility consists of a 3D Cartesian manipulator that, once fully operative, will be equipped with a spherical joint allowing to simulate both attitude and orbital dynamics. All the experiments that have been performed so far and are planned to be performed in the future are based on innovative and disruptive approaches using artificial intelligence (AI) algorithms. Indeed, a crater detection algorithm based on a fully convolutional neural network has been implemented, and a reinforcement learning approach is under development for prescribing the control policy of the simulated system. MONSTER enables hardware-in-the-loop simulations of landers and spacecrafts using AI hardware accelerators such a graphics processing unit (GPU), visual processing unit (VPU) and field programmable gate arrays (FPGA).
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