Autonomous Systems and Intelligent Robots (AUS)

Programme website

Programme Lead: Quan Zhou, quan.zhou@aalto.fi

FIRST SEMESTER (31 ECTS)

SECOND SEMESTER (29 ECTS)

Programme website

Programme Lead: Bálint Kiss, bkiss@iit.bme.hu

FIRST SEMESTER (30/31 ECTS)

SECOND SEMESTER (29 ECTS)

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Programme Lead: Mihhail atskin, misha@kth.se

FIRST SEMESTER (36 ECTS)

SECOND SEMESTER (min. 24 ECTS)

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Programme Lead: Daniele Fontanelli, daniele.fontanelli@unitn.it

FIRST SEMESTER (33 ECTS)

SECOND SEMESTER (27 ECTS)

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Programme Lead: 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

Program Lead: Giuseppe Notarstefano, giuseppe.notarstefano@unibo.it

FIRST SEMESTER

SECOND SEMESTER

Programme website

Programme Lead: Quan Zhou, quan.zhou@aalto.fi

Aalto University offers specialisation in Intelligent Robots and Systems.

Future robots should be able to operate in a variety of unstructured and complex environments, including factory floors, service environments, scientific labs, and even homes. To operate in these complex environments and collaborate with humans, robots must possess advanced capabilities in perception, locomotion, manipulation, reasoning, and decision-making, which are achieved through the use of sophisticated robotic mechatronics, software, and algorithms.

The Intelligent Robots and Systems specialisation 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 specialisation will allow students to learn how to construct intelligent, autonomous robots and systems and will also be complemented with mandatory innovation and entrepreneurship courses.

The Intelligent Robots specialisation at Aalto is closely related to the activity of the professors at the department, in mobile robotics, field robotics, miniaturized robotics, rehabilitation robotics, robot learning, intelligent robotics, and factory automation and autonomous systems. Aalto also has a long tradition of industry collaboration where most of the master theses are carried out in the industry. Both the strong research-based education and close cooperation with industry will enable students to learn not only a solid foundation in intelligent robotics and systems, but an opportunity to involve in the development of career-relevant, cutting-edge robotic technologies, and autonomous systems.

THIRD SEMESTER

FOURTH SEMESTER: Master's thesis (30 ECTS)

Programme website

Programme Lead: Mihhail Matskin, misha@kth.se

KTH offers a specialisation in Intelligent Software for Autonomous Systems. This specialisation provides the combination of fundamental principles of computer science and artificial intelligence with autonomous (software and robotics) systems design. We emphasise 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 provide both knowledge of methods for developing intelligent autonomous systems and develop students’ skills in creating such systems.

The specialisation 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)

Programme website

Programme Lead: Daniele Fontanelli, daniele.fontanelli@unitn.it

UniTN offers a specialisation in Autonomous Robotics Systems. The specialisation aims at offering the tools and the theoretical foundations to tackle the new challenges of the next generation of autonomous systems. Once limited to small and constrained industrial environment, robotic technologies have now become pervasive and are currently one of the main driver of innovation in many areas. Two market segments in which this evolution is more apparent is that of autonomous driving cars and of service robotics. Similarly, the revolution of the Industry 4.0 has changed the landscape also for industrial applications. Modern manufacturing requires unprecedented levels of flexibility, the ability to react to unforeseen events, lean and on-demand production. These changes have put a strain on 'classic' technologies, giving birth to a new wave of industrial robots, more intelligent, more flexible and more interconnected than ever.

In order to face the demanding challenges of modern robotics, professionals are required to have a large number of abilities such as can be found in broad and multifaceted curriculum. In this challenging and exciting scenario, UniTN offers an education pathway that rests on four main pillars: mastering optimal control techniques and their applications to automotive and robot systems, applying control and measurement algorithms with a number of heterogeneous source of information, developing planning and decision making mechanisms that enable the robot to optimise its operation and react to unforeseen events, develop scalable and robust software architectures that make the most of the existing communication infrastructure. Elective courses include Computer vision, Industrial Robotics, Real time operating systems and Wireless mesh and vehicular networks.

The specialisation is offered by the Department of Industrial Engineering (DII) and the Department of Engineering and Computer Science (DISI), both at the University of Trento. DII provides a very broad expertise in many areas related to industrial engineering, industrial and service robotics, dynamics, modelling and control of vehicles, while DISI offers a wide knowledge on software engineering, artificial intelligence, decision making and computer science.

THIRD SEMESTER

FOURTH SEMESTER: Master's thesis (30 ECTS)

Programme website

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

EURECOM is offering a specialisation in Sensing, Communicating and Processing Big Data for Autonomous Systems. This specialisation 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)

Example of recent past semester projects:

• Flying Robots for Future Wireless Networks Beyond 5G
• Automated Code Generation for IoTs
• Social Mobility Modeling in Urban Environments
• Self-driving MarioKart with TensorFlow
• Connected Cars? Implementation of LTE Device-to-Device (LTE D2D) on OAI
• Guard Drone
• Finding IoT Networks in the Wild
• Security and Privacy for Internet of Things

Programme website

Programme Lead: Zoltán Istenes, zoltan.istenes@eitdigital.eu

ELTE offers a specialisation in Computer Science for Autonomous Driving. The specialisation comprises core courses on the design, implementation, operation and maintenance of software for self-driving vehicles. Students get thorough and up-to-date knowledge in the fields of artificial intelligence and machine learning. The specialisation provides comprehensive knowledge of tools and methods for computer perception, especially in 3D vision, image and video analysis, sensor data aggregation. Students can also learn fundamentals and applications of computer graphics and computational geometry. Our courses cover a wide spectrum of topics related specifically to current challenges of autonomous vehicles, and they prepare students for a variety of career options in software development in autonomous systems.

Elective courses include security of autonomous systems, design and analysis of algorithms, spatial information systems, legal framework for autonomous vehicles. Our vision is an equal emphasis on fundamental principles and practical skills. To this end, we combine the training of students with the research activities at the university, and we invite our best students into R&D&I work in one of our  research labs. These long-running, innovative software-engineering projects are carried out in cooperation with industrial partners like Ericsson and Bosch. In this specialisation students can choose lab work as an elective course and work together in international teams on real problems of autonomous systems. ELTE offers students the opportunity to explore and develop their careers through professional practice at partner companies. ELTE endeavours to provide a supportive and enjoyable atmosphere for learning - we provide helpdesk and extensive assistance during studies.

THIRD SEMESTER

FOURTH SEMESTER: Master's thesis (30 ECTS)

Program Lead: Giuseppe Notarstefano, giuseppe.notarstefano@unibo.it

UNIBO offers a specialisation in Autonomous Systems for Smart Industry and Mobility, thus bringing to the existing EIT AUS master its long tradition in Automation for manufacturing and Industry 4.0 and its strong expertise in the areas of autonomous complex systems, cooperative and collaborative robots and autonomous vehicles. The specialisation comprises core courses in optimization, optimal control, distributed autonomous systems, automation software and diagnosis tools. The courses provide a strong methodological background applied to industrial domains, thus preparing students to lead the main design phases in autonomous systems for smart factories and mobile systems.

The EIT AUS master will benefit from well-established, strong interactions of the Automation Engineering International master with the industrial system in the Bologna area. This includes 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 to design suitable ad-hoc internships and thesis projects combining technical and I&E activities.

THIRD SEMESTER

FOURTH SEMESTER:

Master's thesis (30 ECTS)