Students will be introduced to modern approaches in control and design of autonomous robots through lectures and exercises. The course is organized into 5 slots, one per day on a specific topic. Each slot is composed of 6 hours of lectures followed by practical or theoretical exercises that students will do at home. The topic of one slot will change every year and be given by an invited world leader in that topic. Students will be assessed on the reports of their exercises.
Announcements and Additional Information
José Nuno Pereira
Ezequiel Di Mario
Introduction to distributed robotics. Machine-learning methods for distributed robotic systems. Model-based methods for distributed robotic systems.
Course projects can be done in groups of max two students. Project topic preferences can be specified on the Student Area of the course webpage. Below is the list of projects and corresponding supervisors.