. "Automation And Robotics"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Robotics and artificial intelligence in space engineering"@en . . "6" . "The course is mainly divided into three parts: \nPart I: Elements of robotics. The basic elements of Robotics are explained by referring to the manipulator, i.e., the \nkinematics along with the Denavit-Hartenberg parameters and the homogeneous roto-translation representation, the \ndifferential kinematics, the statics, and the dynamics. Moreover, the trajectory planning will be considered by using \nboth traditional methods and advanced methods based on meta-heuristic optimization (e.g., the Particle Swarm \nOptimization). All the previous elements will be used to introduce some basic control algorithms. \nPart II: Elements of Artificial Intelligence and Machine Learning. The basic elements of artificial intelligence and \nmachine learning are explained, and examples related both to robotics and space exploration will be considered. \nSpecifically, some basic elements for dealing with collection and pre-processing of data will be discussed. Then, simple \nalgorithms from machine learning will be addressed, such as the random forest or the support vector machines. \nConvolutional neural networks will be described, also taking into account the possibility to put such algorithm on-board \nfor autonomous satellites. Innovative recognition and \"detection\" algorithms on neural networks and/or on features \nextraction and latest generation matching techniques on EO / IR and SAR images. Examples dealing with remote \nsensing and space exploration will be shown. Finally, GAN architectures will be presented. \nPart III: New algorithms for navigation of space systems based on AI. Starting from optical and infrared mavigation, \nsensor errors, as aberration, boresight, noise input, will be discussed, in order to explain elements of optical and infrared \ntracking systems (e.g., missile seekers). Finally, AI image enhancement algorithms to increase the performance of an \nelectro-optical sensor and algorithms for super-resolving the image / object with single will be described." . . "Presential"@en . "FALSE" . . "Master in Aerospace Engineering"@en . . "SPECIAL MASTER OF AEROSPACE ENGINEERING | Scuola di Ingegneria Aerospaziale (uniroma1.it)" . "no data" . "Presential"@en . "The learning objective of the Special Master of Aerospace Engineering is training experts that can be employed in advanced research and development centers in aerospace engineering.\n\nAn important aspect of the program consists in giving students a system-oriented approach to aerospace engineering. The capability of having a system-oriented and global vision of a space mission is not common in the industry because complexity of each subsystem pushes engineers to focus on single aspects. The design of the general architecture is assigned to the system engineer who is a long-experienced engineer that is able to have a global understanding of the project due to their experience acquired in various subsystems. System engineers are increasingly more difficult to find due to discontinuities that occur over time in the development of large space projects.\nMaster programs in aerospace engineering tend to provide students with at most a basic education in one of the areas of aerospace engineering because of the continuous technological advancement. On the other hand, complexity of current space programs asks for professionals capable of having an insight in extremely various technical aspects. Thus, education offered by the Special Master is extremely important in the industry since it trains system engineers in astronautics."@en . . "2"@en . "FALSE" . . "Master"@en . "Thesis" . "no tuition, other costs may apply" . "no data"@en . "no tuition, other costs may apply" . "None" . "The Special Master of Aerospace Engineering leads to the following career opportunities\n\nin the industry: system engineer for industrial aerospace projects, engineer for automatic and robotic systems,operator of systems for remote sensing, observation, and surveillance\nsupervisor of space missions, including launch operations and ground operations for tracking, remote control, remote sensing, and data processing expert for engineering aspects of the effects of space environment on human beings and on parts of aerospace systems, consultant for strategic and decisional processes of space agencies. \nin research centers: researcher in space systems, researcher in the development of innovative materials for astronautics, researcher in astrodynamics and control of aerospace systems, expert for scientific missions for exploration of solar system.\nin the area of education and cultural activities: instructor for industry and military staff, disseminator of aerospace culture"@en . "no data" . "FALSE" . "Upstream"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .