Gabriele Gennaro
Autonomous recognition and pose estimation in dusty environment for space application.
Rel. Marcello Chiaberge. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2020
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Abstract
With regards to space explorations, significant achievements have been realized during the last 30 years, thanks to advancement in robotic sector . In particular, Artificial Intelligence development allowed several challenging missions and supported scientist and astronauts in the spacecraft control, autonomous navigation or in object detection tasks. In 2018, NASA provided 330k $ to a researchers team, aiming to develop an intelligent system able to navigate amid the debris, detecting and avoiding them . During same year a partnership between NASA and Intel helped astronauts during their training phase for their mission. Researchers trained a neural network with thousands of Moon images in order to create a virtual moon environment and compare it with the local environment .
Nowadays one of the most significant space challenge for humanity is Mars exploration
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