The aim of this project is to use robotics to prevent and reduce the psychophysical risk of workers. IIT and INAIL, the Italian National Institute for Insurance against Accidents at Work, collaborate to achieve this result. INAIL is providing 5 million euros over the course of 3 years to design and build a new humanoid robot, combining it with our wearable technologies. The IIT research lines involved are the Artificial Mechanical Intelligence (AMI) and Humanoid Sensing and Perception (HSP) and the facility iCub Tech.
The National Institute for Insurance against Accidents at Work (INAIL), is a non economic public body, financially independent, aimed at safeguarding workers against injuries and occupational diseases.
Through a multidisciplinary approach, INAIL promotes occupational safety and health protection in the workplace and in living environments, studying, designing and testing solutions useful for preventing and managing traditional and emerging risks in line with the technological evolution of systems, equipments and productive processes.
We combine Artificial Intelligence with Mechanics to provide mankind with the next generation of Humanoid Robots, using iCub as development platform.
Our mission is to drive the development of iCub to obtain versatile humanoid robots with the ability to assist and collaborate with humans in hazardous and industrial environments.
The main objectives of iCub Tech Facility are to continue the development of the humanoid robotic platforms iCub and R1 and to provide support to Research Lines and to external labs using our robots.
We take a 360-degree approach to robotics including mechanical and electronic design, power sources, sensor development (e.g., tactile, cameras), control, leveraging advanced and fast prototyping design methodologies (e.g., model-based system engineering), and integrating new technologies provided by other IIT Units.
iCub Tech Facility is also a technology provider partner in many European Projects, Sponsored Research Agreements, and Joint Labs.
Humanoid Sensing and Perception group studies algorithms and technologies that allow robots to sense the environment and react appropriately. Our strategy is to exploit the capability of robots to learn under human guidance or from the interaction with the environment by exploiting multiple sources of information (e.g. proprioception, vision, touch, and audition). Our activities focus on computer vision, tactile sensing and the development of the software technologies for seamless interaction of perception and action.