Topics : Multi-robot system, Coordination, Path planning and Optimization
Context: AGVs systems
Project: Research and develop anew generation of flexible, cost effective, safe and green AGVs related to the PAN-ROBOTS project.
AGVs will be able to transport material and products in modern factories based on autonomous on-board path planning and navigation to enable high flexibility. The perception system to guide the AGVs through the factory will be based on a novel cooperative approach. Advanced on-board sensors will be combined with infrastructure sensors to enhance the cost effectiveness and increase safety. The fleet control will be intuitive and easy to use by workers without specialized training. In addition the installation time and costs will be dramatically reduced by semi-automated plant exploration supported by a localization approach utilizing already existing landmarks and an advanced pallet handling system which detects and picks the pallets autonomously.
PhD student in Industrial Innovation Engineering at the University of Modena and Reggio Emilia
Master degree (Laurea Magistrale) in Mechatronic Engineering at the University of Modena and Reggio Emilia, with a thesis in Mobile Robotics titled "Progettazione e Sviluppo di unarchitettura di controllo basata su comportamenti per un robot mobile nellambiente non strutturato relativo alla SICK robot day ("Design and Development of a behavior-based control architecture for a mobile robot in unstructured environment concerning the SICK robot day")
First level degree (Laurea) in Mechatronic Engineering at the University of Modena and Reggio Emilia, with a thesis titled "Progettazione e sviluppo di un algoritmo di mapping per robot mobili
di tipo differential-drive" ("Design and development of a mapping algorithm for Differential-Drive mobile robot")
Scientific High School Diploma