The aim of this course is for students (bachelors, master or early-PhD) to understand the fundamentals (both theory and practical) of mobile Robotics and Applied Machine Learning (RML)  and their applications to real-world problems. The RML's programme is divided in two modules: 

(i) Hardware and software for mobile robotics; 

(ii) Applied machine learning. 

This short-term course is more devoted to the theoretical and practical elements of robotic perception, machine learning and computational intelligence.

Robotic Platforms: Jackal, TurtleBot3, others.
Sensors: 2D and 3D LiDARs, RGB, thermal, multispectral cameras.
Software: ROS, Matlab, Weka, Colab (Python)