Fit for Medical Robotics aims to revolutionize current rehabilitation and assistive models for people of all ages with reduced or absent motor, sensory, or cognitive functions, by means of novel (bio)robotic and allied digital technologies and of continuum of care paradigms that can take advantage of the novel technologies in all the phases of the rehabilitation process, from the prevention up to the home care in the chronic phase. This will be possible by carefully identifying the unmet needs of patients and healthcare practitioners, and by tackling them with current and novel (bio)robotic/bionic technologies, via multi-centric clinical trials jointly conceived by bioengineers, neuroscientists, physiatrists, psychologists and functional/preventive limb surgeons. Such a new continuum-of-care paradigm will start from the prevention and will target all phases of the disease, from acute (bed-side) to chronic (home-rehabilitation) and will contribute to the design of new pre-habilitation protocols and of diagnostic tools for fragile individuals or workers exposed to occupational diseases or repetitive stresses. Fit for Medical Robotics will focus both on already available technologies not yet fully validated, and on emerging technologies or breaking-through ideas to be explored throughout the project. Hence, foundational studies, involving new materials, algorithms, smart sensing and actuation technologies, as well as sustainable power sources, will sought to overcome the limitations of current robotic solutions, which have prevented their massive spread as physical care providers, in order to pave the way to the next generation of biomedical robotic systems. Not less important, the clinical, scientific, and technologic efforts will be matched on the policy, regulatory and organizational sides in order to accelerate the setup of an adequate framework apt to incorporate (in a sustainable manner) current and future technologies and protocols in the healthcare system as well as to sustain the innovation they will bring about.
Our joint laboratory with Honda Research Institute Japan (HRI-JP) aims to develop advanced control, perception, and planning algorithms for human-robot collaboration scenarios.
The joint lab keywords that characterize the research we develop are ergonomy, cobots, and human-robot collaboration.
Besides iCub, the conceived algorithms for human-robot collaboration will be tested on the ED-2R and Asimo humanoid robots.
Danieli Automation’s joint lab focuses on developing flexible robotic systems and automated solutions in steel processing.
We aim to increase safety for workers in hazardous industrial environments by using advanced control, perception, and planning algorithms.
Camozzi Group is a market leader in producing components for pneumatics automation with applications in the life science, health, and textile industries.
As a research line, we are applying our expertise in the modeling, control, and planning of nonlinear systems to the pneumatic field.
The project aims to devise future wearable technologies and humanoid robots to maximize work ergonomy and technological acceptability of future industry and healthcare environments.
Inail is the Italian National Institute for Insurance against Accidents at Work, a public authority that manages compulsory insurance against accidents at work and occupational diseases.
The collaboration aims to adapt the iCub Robot’s Avatar architecture to develop a commercial, human-controlled wheeled Avatar Robot in a simulation environment. We will establish the Avatar simulation infrastructure to ensure seamless component operation. The project will integrate advanced manipulation, voice, and visual interfaces for better human-robot interaction and implement tactile feedback and locomotion controls for precise and realistic movements.
RAICAM is a solutions provider of high-tech friction materials, brake actuators, transmission, and cooling applications for diverse markets.
This joint project aims to adapt the technologies and algorithms developed for humanoid robots to other fields, like sustainable mobility.
The spin-off idea from AMI aims to provide an integrated platform that enables real-time human health monitoring in motion tracking, articular stress monitoring, and fatigue analysis. Based on our extensive and in-depth research analysis, we developed groundbreaking technology.
iFeel will be the next step in life-logging human health monitoring for industrial, rehabilitation, sports, and gaming applications.
Funded Projects
Completed projects
Marie Sklodowska-Curie Innovative Training Networks under Grant Agreement No. 642667
Role: supervision of a PhD student funded by the project
Research and Innovation Programme under Grant Agreement No. 731540
Role: coordination - Francesco Nori - and PI - Daniele Pucci.
FP7