Nowadays ICT and robotic technologies are experimenting an increasing number of opportunities to be exploited in several scenarios of daily living, from the home to the city and at work. This trend comes with a number of multidisciplinary scientific challenges, covering both technological fields and clinical areas related to neurodegenerative diseases, neuropsychology and various chronic diseases . Particularly, the integration of Robotics, Internet of Things and Artificial Intelligence is an interesting approach that enables the possibility to design and develop new frontiers in personalized and precision medicine, cognitive frailty and cooperative robotics .
In this context, this talk aims to present the main results in the development of BioRobotics solutions, developed during my research activities as assistant professor, aiming to face bioengineering challenges in 1) objective assessment in Parkinson disease, 2) objective neuropsychological assessment and rehabilitation in Mild Cognitive Impairment, 3) physical and cognitive stimulation and rehabilitation in cognitive frailty and 4) augmented cognitive capability in ageing workforce.
The development of wearable sensors for fine biomechanical analysis of movement, combined with artificial intelligence techniques is, for example, at the base of creating a framework to objectively quantify the UPDRS scores in Parkinson  and identify challenging opportunities in early diagnosis  and therapy control. Additionally, recent advancements in artificial intelligence, such as Adaptive Neuro-Fuzzy  and Convolutional Neural Network , represent an interesting opportunities to develop systems that can learn and then adapt to the evolution of the disease.
Similarly, the use of these technologies is also increasing in MCI neuropsychological assessment, for example in the development of tools able to combine physical exercise and traditional cognitive test, giving then the possibility to perform a cognitive training while performing an aerobic physical activity and to be used at home without the presence of clinical staff [7-8].
Social robotics highlights another fundamental scientific problem in cognitive human robot interaction, aiming to improve interactions between robots and their users by developing cognitive models for robots and understanding human mental models of robots. In this context, perception capabilities of robots could be achieved through emotion  and gesture recognition using vision  and wearable  sensor systems, combined with supervised or unsupervised approaches. Interestingly, social robotics plays an important role, not only for pure human robot interaction, but also for bioengineering applications, as demonstrated by the fact that a substantial part of research work in this area deals with treatment of children with ASD  or elderly with mild cognitive impairments .
Finally, the combination of the above-mentioned technologies with augmented and mixed reality is another crucial research topics that represents an effective solution for enhancing safety and cognitive capabilities in elderly workers , and also for treatment of neuropsychological disorders [14-15].
 Betti, S., R. Molino Lova, E. Rovini, G. Acerbi, L. Santarelli, M. Cabiati, S. Del Ry, and F.Cavallo. "Evaluation of an integrated system of wearable physiological sensors for stress
Giovedì 26 aprile 2018, ore 14.30
Aula 43, Edificio U6 (primo piano)
Tutti gli interessati sono invitati a partecipare.
Prof.ssa Emanuela Bricolo