The Images, Robotics, Automation and Signal (IRAuS) department is part of the Technology, Information and Communication Sciences.
It is organized into four disciplinary thematic areas, each relating to a well-identified field of the 61st section of the CNU.
Over the 2018-2019 period, the scientific leadership set up in the department has enabled us to identify four major strategic socio-economic areas for the department. These are intelligent systems for healthcare, the industry of the future, intelligent energy management, and artificial intelligence and its many applications. For the period 2020-2025, the department's areas will carry out multi-disciplinary scientific and technological research in these four major socio-economic fields, as well as in fields with strong regional roots, such as digital agriculture and heritage preservation.
Healthcare systems engineering is one of the department's long-standing areas of research. We will be continuing our work on mathematics and digital sciences for healthcare; we will be developing new on-board sensors and diagnostic aid systems, and continuing our theoretical work on micro/nano-robotics for medical applications. In addition, we will be developing intelligent technological systems for healthcare; these will include mobile robots for hospital services, and innovative mechatronic structures for the medical sector.
The department will address the industry of the future from three complementary angles. We will continue our work on robotics for performance and human-robot collaboration. We will be developing safe and efficient solutions for teleoperation and co-manipulation. This work will also find applications in the medical sector. In addition, we will be strengthening our expertise in the factory of the future: intelligent, connected and controlled. We will develop correct-by-construction technological solutions for piloting, monitoring and controlling industrial and cyber-physical systems. We will exploit the Internet of Things and address the issue of cyber-security. By combining innovative analysis and monitoring techniques, we will reinforce our expertise in predictive and anticipatory maintenance. Last but not least, a new system of on-board sensors will contribute to the assessment of work-related arduousness.
Intelligent energy management will be addressed through flow control, in collaboration with the FECP department, and through intelligent building sensors.
Artificial intelligence, and in particular deep learning, will remain at the heart of the department's Image Vision area of research. In addition to the four strategic areas for the department, this research also covers areas with strong regional roots. The IRAUS department will be reinforcing its expertise in this field through its participation in the DIAMS Regional Thematic Network on Data, Artificial Intelligence, Modeling and Simulation, of which it is a founding member.
The division's thematic areas: