The Seasonal School is a five-day program that offers an introduction to economic, social, political, and legal aspects of modern China through Sant’Anna Institute's leading research activities. The school aims to promote knowledge of China's role in the new global order and its impact on international relations. The program features a strong interdisciplinary approach and will cover aspects related to Chinese innovation, geopolitical and international relation issues, and legal systems. The school will analyze the evolution, prospects, and challenges of China's role in the international order, from the perspectives of European and Italian scholars outside of China.
In the forthcoming decade, technologies of eXtended Reality (XR), i.e., Virtual, Augmented and Mixed Reality, and collaborative robots will become ubiquitous. Then, the XR combination with robots and human-centric Artificial Intelligence will enable distributed environments where humans, robots and virtual entities coexist and may become the sentient embodiment of remote human operators. The AIRONE School will cover specific research topics underpinning this paradigm shift affecting technology, perception and interaction ways.
At the end of the AIRONE School, participants will learn the main aspects of eXtended Reality, the basics for the design and control of collaborative and wearable robots for immersive telepresence, and the fundamentals of Machine Learning and AI applied to Robotics and artificial vision systems.
The Seasonal School will introduce participants to the highly interdisciplinary field of minimally invasive (robotic) interventions. Students will be introduced to intervention robotics, artificial intelligence for medical imaging, smart materials and innovative robotic components, microrobotics and nanomedicine, as well as clinical aspects of minimally invasive interventions. Students will have a chance to discuss the numerous scientific, technological and clinical challenges in the field, and to gain skills in developing innovative technological solutions with a highly multi-disciplinary and holistic approach.
It addresses postgraduate and PhD students, with backgrounds in engineering, physics, mathematics, medicine and life sciences, and computer sciences, who are interested in challenging themselves with such a relevant and interdisciplinary field of research.