Introduction to Machine Learning (Metodi Quantitativi per l’Informatica) a.a. 2016/2017

In 2016/2017, I was the main Tutor of the course of “Metodi Quantitativi per l’informatica”, for the Bachelor in Computer Science Engineering at the University of Rome “La Sapienza”. This course basically consists of an introduction to Machine Learning

In this page, you can find the timetable and the slides which I personally prepared (in English) for the course.

Introduction to Pattern Recognition  a.a. 2016

As a teaching assistant, I presented a short introduction to Visual SLAM within the course of  “Introduction to Pattern Recognition”, for the Master in AI and Robotics  Engineering at the University of Rome “La Sapienza”. 
slides 1 (based on Davide Scaramuzza’s tutorials)
slides 2  (focused on Andrew Davison’s Elastic Fusion)


All theses projects require knowledge of C++, ROS and Matlab. Theses duration is from 2 months up to 6 months.  Students might be able to participate in activities within the European project TRADR  with the UGVs and the UAVs available within the projects.

The theses are on the following main topics:
• Point cloud segmentation and 3D Reconstruction by using RGBD and LIDAR sensors 
• Sensor-based motion planning in challenging scenarios with tracked UGVs
• Robot dynamics/kinematics learning and control
• Multi-robot systems (patrolling, coverage, exploration)
You can also take a look at this page.