Slides and supplementary material provided by the teachers.
Argomenti del programma: The course is organized in three main modules, plus one additional module for labs. Robotics survival kit (approx. 15 h) - Foundations of sensing & actuation - Briefly on kinematics and dynamics of autonomous systems - motor control - introduction to ROS robot programming - Gaussian Filters: Kalman filter, Extended Kalman filter - Non-Parametric Filters: Particle filter Robot learning (approx.
Testi d'esame di Robot Learning del prof. Giuseppe Bruno Averta, canale unico, corso di laurea in Ingegneria Informatica (Computer Engineering) (Laurea magistrale (LM-32)), Politecnico di Torino, 2º anno · 1º semestre · Automation and Intelligent Cyber-Physical Systems · 6 CFU, a.a. 2026/2027. Libri adottati: Springer Handbook of Robotics, Bruno Siciliano, Oussama Khatib.