Robotics Engineering is a study program associated with two international programs.
Thanks to the European Master on Advanced Robotics (EMARO) and to the Japan-Europe Master on Advanced Robotics (JEMARO) students attend each year in a different University part of the EMARO/JEMARO consortium.
Students enrolled as part of Robotics Engineering attend the whole degree in UniGe. However, they share the same classes and are subject to the same activities and workload as EMARO/JEMARO students. Robotics Engineering, completely taught in English, has a unique structure compliant with international standards:
- continuous assessment of students’ performance
- exam sessions synced with semesters
- extended and challenging lab activities
- a full-semester thesis work
Robotics Engineering strongly encourages mobility abroad for a traineeship, as well as industrial cooperation.
Learning by doing
Robotics Engineering adopts the successful EMARO and JEMARO philosophy of learning via reflection on doing, as a paradigm complementary to the more traditional separation between teaching and practice. Theoretical studies are interleaved with lab-based practical and experimental work.
In the first year, a mandatory group project-based course allows students to be involved in research-oriented projects in teams, whereas in the second year thesis work spans over a full semester and is preceded by a research methodology course.
Robotics Engineering values both professional-related figures and research-oriented backgrounds. Since cutting-edge technology cannot emerge but rooted in rigorous research, Robotics Engineering seeks to produce professional figures in robotics, artificial intelligence, mechatronics, and automation.
Research-oriented careers can be sought as Ph.D. studies in autonomous robotics, smart manufacturing, artificial intelligence.
Application domains explicitly considered in the program include factory automation (Industry 4.0), intelligent transportation (autonomous cars, railways, ships and space vehicles), ambient intelligence (smart environments, smart cities, Internet of Things), human-robot interaction, as well as software-based systems.