Alessandro Rea
AMR system for autonomous indoor navigation in unknown environments.
Rel. Marina Indri, Orlando Tovar. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2022
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Abstract
With the introduction and advancement of technologies now essential to industrial processes, technological evolution has significantly advanced the field of automation. The evolution of autonomous systems has made it possible to improve human work, facilitating collaboration with it while providing a substitute for handling the most demanding tasks. To achieve the goals of Industry 4.0, CIM4.0 has developed the FIXIT project, which aims to provide interactive support to the human operator in an industrial or logistics setting. The objective of this thesis is to develop an Autonomous Mobile Robot (AMR) system capable of autonomous indoor navigation through an unexplored and unknown environment.
In order to fulfill the predefined task, a sensoristics system suitable for the environment is deployed
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