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The Duckietown@ISARLab is a project aimed at promoting robotics educations. It is based on a number of simple autonomous robots, and a growing number of ROS nodes to reproduce several real-life scenarios.

It is the local version of the duckietown initiative, originated at MIT and now being spread over a number of universties and robotic centers. Details on the original idea, on the current global projecy, the participating institutions and all the documentation, all is available at the Duckietown web portal Duckietown.org.

The  Duckietown@ISARLab project started with the work of a number of bachelor thesis, and is going to be continuously enriched.

The project is supervised by Paolo Valigi, Gabriele Costante and Mario Fravolini. The technical coordination and responsibility, and the supervision of master and bachelor thesis are entrusted to Alberto Dionigi and Diego Tognelli. A few videos are avaible on the ISARLab youtube channel.

The new graduate-level class of Intelligent Mobile Robots will make large use of the project.

All the local documentation can be found within the Unistudium e-learning platform of University of Perugia, at the following DuckieTown@ISALab starting page. Please select "guest access" to get acces.

Lane following by detecting lines with computer vision methods (Simone Felicioni)

Line following with LEDs light changes tracking. (Alex Duranti)

Robot localization and navigation by using marker detection strategies (Federico Parroni)