Lorenzo Galtarossa
Obstacle Avoidance Algorithms for Autonomous Navigation System in Unstructured Indoor Areas.
Rel. Marcello Chiaberge. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2018
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Abstract
This work presents different approaches to the obstacle avoidance algorithm for a robot that moves in an unknown, unstructured indoor environment. The first step is the investigation and study of the platform, divided into software and hardware, available at the Mechatronics Laboratory (Laboratorio Interdisciplinare di Meccatronica, LIM) at the Politecnico di Torino, on which it is implemented the navigation algorithm. For what is concerned with the software platform, ROS has been used. The Robot Operating System is an open source framework to manage robots’ operations, tasks, motions. It represents the Operating System mounted on the two Turtlebot (Burger, Waffle), hardware platform, that are available at the LIM.
After a brief analysis of the kind of sensor needed and handled by the Turtlebot, the second step is the inspection of the different algorithms that are suitable and relevant for our purpose, goal and environment
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