Video: Ivan David Changoluisa's Master Thesis Project

ERASMUS MUNDUS JOINT MASTER in Intelligent Field Robotic Systems

Why joining IFROS

IFRoS is aimed at a new generation of engineers who will develop new applications and tools to expand the capabilities of field robots in the near future. The technology behind these systems comes from different research areas such as artificial intelligence, computer vision, control, sensorization, machine learning, manipulation, all of them under fast-paced evolution in the current digital revolution. IFRoS addresses the lack of master programs dedicated to intelligent robots and, more specifically, to field robotic systems.

Structure:

The Intelligent Field Robotic Systems (IFRoS) is a 2-year joint master degree with 120 ECTS. The programme is structured in four semesters, of 30 ECTS each.

Target:

IFRoS is targeted at students that have completed a first degree in areas related to Computer Science, Mathematics, Robotics, or Engineering-based (Biomedical, Electronics, Industrial, Mechanical and similar), and who want to pursue deeper knowledge in field robotics.

Requirements:

The IFROS master is taught in English and is very programming intensive. In addition to a solid background in engineering and computer science, the prospective students need to have a strong knowledge in the Python programming language, and the equivalent of a level B2 in English language.

Testimonials

Working and learning alongside people from diverse backgrounds has not only broadened my cultural perspectives but also enhanced my expertise in robotics, making me a better robotist. It has allowed me to forge friendships worldwide, and immerse myself in a global community. Pursuing my goal, I chose "Semantics-based Multi-robot Search and Exploration" as my thesis topic, conducted at LARICS Laboratory at the University of Zagreb, a place that perfectly aligns with my passion for multi-UAV systems."

Nada Abbas

Erasmus Mundus Master Student

The IFRoS program has blessed me with numerous unforgettable experiences that I had never encountered before. I was fortunate to have a wonderful group of friends who supported me not only academically but also in my personal life. The moments spent collaborating on group projects or lab work are particularly dear to me. During these times, I felt part of a large family composed of individuals from diverse countries and backgrounds.