Advanced education, frontier research and innovation: this is The BioRobotics Institute of Sant'Anna School of Advanced Studies, founded in 2011. The Institute has built a vast wealth of knowledge and expertise in several fields of biorobotics, such as: social robotics, industrial robotics, assistive/rehabilitation/surgical robotics, neural engineering, cognitive systems, bio-inspired robots and their ethical, legal, social and economic implications.
The Institute aims to act as a linking bridge among international centres of knowledge and to create a new concept of engineers that are scientists, inventors, entrepreneurs and problem solvers.
Our mission is based on three pillars:
- Education, at all levels of postgraduate training: a MSc in Bionics Engineering and a PhD program in BioRobotics;
- Research, organized in 8 research Areas and 9 research Laboratories;
- Innovation, which promotes entrepreneurial skills such as the ability to invent, to file patents and to create start-up companies.
The BioRobotics Institute has also activated an Educational Robotics program with schools in Tuscany, Italy. The program aims at bringing technology and robotics in schools and using them as a new instrument for teaching scientific and technical subjects.
Their paper published in eNeuro journal is focused on the brain mechanisms underlying impulse control disorders and addiction, compulsive buying behavior, altered sexual behavior and gambling
Next week, Stefano Mazzoleni, a researcher of the Biorobotics Institute, will attend a three-day conference “The Future of Healthcare in Italy” in Como, on January 25-27. The conference is organized by Motore Sanità and will explore a range of topics related to decentralization and recentralization of regional health services, regional differences in policies and financing which impact on continuity of care for chronic diseases and rehabilitation programs.
The study was coordinated by Matteo Caleo - In-Cnr and Silvestro Micera - Biorobotics Institute of Sant’Anna School. It focused on the forelimb motor recovery through a robotic training combined with transient inactivation of contralesional hemisphere collecting data about kinetic and kinematic parameters, force exerted and smoothness of movements