Cognitive Robotics

I am the Teaching Assistant of the Cognitive Robotics course; the official site of the course is not maintained by me and it can be found here. On this page I am publishing the material of my lectures for this class but you can find those also on the official course page.

Course Aim & Organization

Teachers

The course is composed by a blending of lectures and exercises by the course teacher and the teaching assistant:

• Giuseppina Gini: the teacher
• Matteo Matteucci: the teaching assistant

Course Program

• What is Soft Computing: fuzzy systems, neural networks, stochastic algorithms and models;
• Fuzzy models: fuzzy sets, fuzzy logic, fuzzy rules, motivations for fuzzy modeling;
• Neural networks: basics, supervised and unsuprvised learning, main modelsi, selection and evaluation;
• Stochastic models: basics, optimization of models, fitness function, model definition, genetic algorithms, reinforcement learning, bayesian networks;
• Applications: motivations, choices, models, case studies.

Teaching Material

Here you find a copy of the slide of the teaching assistant, the slides for the whole course are available here

• Slides on Robotics Middleware
• Slides on ROS Introduction