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Individuation of low cost sensors that satisfies the navigation requirements and development of a Simultaneous Localization and Mapping algorithm through simulations and experimental validation.
Design and development of a low cost mobile robot capable of localizing itself inside a map and capable of building a map of the surrounding environment. The research studies will focus on the design of sensor fusion algorithms (Kalman Filters, Particle Filters, ) in order of merging odometric and exteroceptive informations, using low cost sensors. Furthermore, a novel navigation strategy for an efficient coverage of the map will have to be developed. The final goal of the research is to improve the navigation capabilities of an outdoor mobile robot, while maintaining its cost affordable for domestic usage.
Postdoctoral researcher at the University of Modena and Reggio Emilia
PhD student in Industrial Innovation Engineering at the University of Modena and Reggio Emilia
Master degree (Laurea Specialistica) in Mechatronic Engineering at the University of Modena and Reggio Emilia, with a thesis in Mobile Robotics titled "Progettazione e sviluppo di algoritmi di localizzazione basati su Filtri di Kalman su sistema operativo ROS per un robot mobile Differential Drive"
First level degree (Laurea) in Mechatronic Engineering at the University of Modena and Reggio Emilia, with a thesis titled "Progetto di una macchina di prova per la caratterizzazione rapida a fatica di fili a memoria di forma in condizioni di isotermia"
Scientific High School Diploma