Autonomous Systems and Intelligent Robots (AUS) - SPECTRO

Programme website

Academic Coordinator: Quan Zhou, quan.zhou@aalto.fi

FIRST SEMESTER (31 ECTS)

SECOND SEMESTER (29 ECTS)

Programme website

Academic Coordinator: Bálint Kiss (Mr.), kiss.balint@vik.bme.hu
Administrative Coordinator: Fanni Szondy (Ms.), szondy.fanni@vik.bme.hu

Remarks: 
1. One semester at BME includes 14 weeks of classes, 1 week of retakes, and 4 weeks of exams.
2. The Entry year study programme may include one additional "catch-up" course based on previous studies of students, selected on an individual basis.

FIRST SEMESTER (30 ECTS)

SECOND SEMESTER (31 ECTS)

Programme Website

Academic Coordinator: Zoltán Istenes, zoltan.istenes@eitdigital.eu

FIRST SEMESTER

SECOND SEMESTER

Programme website

Academic Coordinator: Mihhail atskin, misha@kth.se

FIRST SEMESTER (36 ECTS)

SECOND SEMESTER (min. 24 ECTS)

Programme website

Academic Coordinator: Ducard Guillaume, Guillaume.Ducard@univ-cotedazur.fr

UCA offers a study programme at Master M1 level in Autonomous Systems. All the fundamental aspects of modelling dynamic systems, parameter and state estimation, control, artificial intelligence and robotics are covered.

FIRST SEMESTER

SECOND SEMESTER

Academic Coordinator: Giuseppe Notarstefano, giuseppe.notarstefano@unibo.it

FIRST SEMESTER

SECOND SEMESTER

Programme website

Academic Coordinator: Davide Brunelli, davide.brunelli@unitn.it

FIRST SEMESTER

SECOND SEMESTER

Programme website

Academic Coordinator: Quan Zhou, quan.zhou@aalto.fi

Specialization in Intelligent Robots and Systems

The specialization at Aalto University will offer a wide range of courses in robotics and intelligence systems, including theoretical foundations, key methodologies, and important hands-on skills.  Included in the elective courses are autonomous mobile robots, micro- and nano-robotics, neurorobotics, computer vision, robot manipulation, model-based control, sensor fusion, and machine learning methods. Those courses will give students comprehensive knowledge and skills in intelligent robotics and systems, both hardware and software and algorithms and applications. The specialization will allow students to learn how to construct intelligent, autonomous robots and systems. Additionally, the specialization will also be complemented with mandatory innovation and entrepreneurship courses.

The studies in the programme are closely related to the research conducted at the relevant departments including Aalto University's Department of Electrical Engineering and Automation and Department of Computer Science.

THIRD SEMESTER

FOURTH SEMESTER: Master's thesis (30 ECTS)

Programme website

Academic Coordinator: Bálint Kiss (Mr.), kiss.balint@vik.bme.hu
Administrative Coordinator: Fanni Szondy (Ms.), szondy.fanni@vik.bme.hu

Specialization in Autonomous Robots and Vehicles

With the steadily increasing use of robots in industry, advancements in unmanned mobility, and the surging demand for service robotic solutions, investments in the development of intelligent robotic systems capable of autonomous behaviour and unmanned mobile units are rapidly increasing. This trend is expected to persist in the years and eventually decades to come. At the same time, many advanced methods and algorithms are already available in these fields, but their scaling up to products and services satisfying real market needs requires highly trained engineers with an innovative mindset. Students enrolled in the BME specialization in Autonomous Robots and Vehicles will gain comprehensive knowledge about the design, modelling, and control techniques of various robotic systems, including robot arms and unmanned ground vehicles. They will also learn about the operation of sensors essential for autonomous behaviour, along with the associated signal processing methods. Additionally, students will be exposed to cutting-edge techniques in navigation, trajectory planning, and the management of multiple robotic agents. The development of an innovation-oriented problem-solving mindset with deep technical skills remains a focal point of the curriculum. Equipped with this extensive knowledge, students will be well-prepared to engage in a wide range of development, research and innovation endeavours within the field of autonomous robots and vehicles.

THIRD SEMESTER (31 ECTS)

FOURTH SEMESTER (30 ECTS)

Programme website

Scientific coordinator: Prof. Raphaël Troncy and Prof. Paolo Papotti
Administrative coordinator: Stéphanie Marmion - contact: master-eit-aus@eurecom.fr

Specialization in Sensing Big Data for Intelligent Robots

EURECOM is offering a specialisation in Sensing Big Data for Intelligent Robots that aims at describing the methods and tools to process and analyse data from sensors (big data integration, semantic interoperability, data mining and analytics) and at understanding the communication mechanisms adapted to the sensors’ constraints (low energy consumption, limited computing capacities, etc.). Consequently, this master specialisation is at the crossroad between communication systems and data science skills.

THIRD SEMESTER

FOURTH SEMESTER: Master's thesis (30 ECTS)

Programme website

Academic Coordinator: Zoltán Istenes, zoltan.istenes@eitdigital.eu

Specialization in Machine learning for Robotics

ELTE offers an exciting specialization in Machine Learning for Robotics, designed to equip students with a comprehensive understanding of machine learning theory, practical design, implementation, and essential tools for image processing and 3D vision. This specialization forms a robust foundation for robot sensor processing, enabling students to tackle a wide range of real-world applications and positioning them for diverse career opportunities in software development for autonomous systems and robotics.

Our program at ELTE integrates student training with the university's cutting-edge research initiatives. We encourage our top-performing students to engage in R&D&I (Research, Development, and Innovation) work within our state-of-the-art research laboratories. This collaborative approach fosters innovation and ensures that our students are well-prepared for the ever-evolving field of machine learning in robotics. Our partnerships with industry leaders provide students with opportunities to work on cutting-edge projects and gain valuable industry experience.

At ELTE, we're committed to creating a supportive and enjoyable learning environment. Our dedicated helpdesk and extensive academic assistance resources are here to guide the students through their studies, ensuring they have the support they need to excel in this exciting and challenging field.

THIRD SEMESTER

FOURTH SEMESTER: Thesis consultation (30 ECTS)

Programme website

Academic Coordinator: Mihhail Matskin, misha@kth.se

Specialization in Intelligent Software for Autonomous Systems

KTH offers a specialization in Intelligent Software for Autonomous Systems. This specialization provides the combination of fundamental principles of computer science and artificial intelligence with autonomous (software and robotics) systems design. We emphasis teaching of methods for development of distributed software systems and employment of modern AI (machine learning) methods in autonomous application. KTH offers a broad spectrum of courses in the areas of distributed artificial intelligence and intelligent agents, machine learning, scalable machine learning and deep learning, deep learning in data science as well as courses in robotics and software engineering for data intensive systems. The offered courses both provide knowledge of methods for developing intelligent autonomous systems and develop students’ skills in creating such systems.

The specialization is offered by the Department of Computer Science of the School of Electrical Engineering and Computer Science. The school provides a very broad expertise in many areas related to electrical engineering, control, software engineering, artificial intelligence, robotics and computer science. 

Departments who are  involved into teaching in the program include: Computer Science department, Software and Computer Systems department, department of Robotics, department of Automatic Control and department of Communication Networks.

THIRD SEMESTER

FOURTH SEMESTER: Master's thesis (30 ECTS)

Specialization: Aeronautical Robotics 

• Third Semester: The initial semester focuses on building a strong foundation in aeronautical robotics, electrical systems, and control strategies. Students engage in core courses covering topics such as aerospace engineering, robotics fundamentals, and more electric aircraft technologies. The semester is designed to provide both theoretical knowledge and practical skills through labs and collaborative projects, encouraging innovation and teamwork. Key areas of focus include electric aircraft propulsion systems, dynamics, and embedded safety.
• Fourth Semester: The second semester emphasizes practical application and specialization. Students will work on hands-on projects and have the opportunity to collaborate with industry partners, gaining real-world experience and insights into aeronautical robotics and engineering more electrical aircrafts. In this semester, students will also focus on their thesis work, applying their knowledge to a research project that can significantly contribute to the field.

THIRD SEMESTER

FOURTH SEMESTER

Academic Coordinator: Giuseppe Notarstefano, giuseppe.notarstefano@unibo.it

Specialization in Autonomous Systems and Robotics for Smart Industry and Intelligent Mobility

UNIBO provides students its long tradition and excellence in education by offering a specialization on Autonomous Systems and Robotics for Smart Industry and Intelligent Mobility. The specialization gives students strong competences in the areas of control systems, optimization, AI, Robotics, and software for autonomous systems and robots. Core courses include optimal control and reinforcement learning, distributed autonomous systems, autonomous mobile robotics, diagnosis tools, and automation software. The courses provide a strong methodological background applied to application domains in smart industry and intelligent mobility, thus preparing students to lead the main design phases in these industrial domains. Students will benefit from well-established, strong interactions with the industrial system in the Bologna area, including world-wide leader companies in areas related to Automation, Mechatronics and Robotics (Packaging Valley) and to Automotive and Autonomous Vehicles (Motor Valley). The exit year is designed to have a strong interaction with these companies via suitable ad-hoc internships and thesis projects combining technical and I&E activities.

THIRD SEMESTER

FOURTH SEMESTER:

Master's thesis and internship (30 ECTS)

Specialization: Marine Robotics & Informatics

Academic coordinator: Assoc. Professor Dimitris Zissis

THIRD SEMESTER

FOURTH SEMESTER

Programme website

Academic Coordinator: Davide Brunelli, davide.brunelli@unitn.it

Specialisation in Intelligent Transportation Systems and Robots

The specialisation in Intelligent Transportation Systems and Robots provides the combination of the main ingredients to conceive, design and implement an autonomous robot that has to work in modern advanced applications, ranging from service robots working side-by-side with humans, to distributed solutions for industrial applications of the future to intelligent vehicles and cars. The specialisation builds upon the modern perception solutions for robots and the available software/hardware components to implement them, both considering a single agent or a coordinated team of multiple agents. Moreover, a large stress is given to software systems and the employment of modern AI (machine learning) through which an autonomous robotic system and/or an intelligent vehicle may properly perceive and act in structured and unstructured environments. UNITN also offers additional courses in the areas of robotics for industrial applications, optimal control for robotic systems, planning and scheduling for robots, renewable energy systems and advanced implementation of racing cars. The offered courses focus on the theory development, to understand the limits and the advantages of modern solutions, as well as practical laboratory activities with hands-on teaching to let the students see how intelligence may be actually embedded in a robotic autonomous platform.

The specialization is offered by the Department of Industrial Engineering and the Department of Engineering and Computer Science. The two departments provide very broad expertise and advanced research in many areas related to computer science at large, artificial intelligence, electrical engineering, mechanics, control, robotics and mechatronics. 

THIRD SEMESTER

FOURTH SEMESTER: Master's thesis (30 ECTS)