Given by: Giulia De Masi
CFU: 3
Target audience: PhD students and Master students

Description: This course is giving a self-contained introduction to collective decision-making with applications to swarm robotics, from theoretical aspects, to simulation, modeling and principles for experimental applications. At the end of this course, the student will be able
to recognize in the real life the scenarios where collective decision making is playing a role, will be able to design a swarm of robots for a proper predefined task, model the system and analyze the results.
Prerequisites: Python, Calculus


[Course] Collective decision making and swarm robotics