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.
We have a joint laboratory with Honda Research Institute Japan (HRI-JP) whose main aim is to develop advanced control, perception, and planning algorithms for human-robot collaboration scenarios.
The joint lab keywords, which characterise 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 the development of flexible robotic systems and automated solutions in the field of steel processing.
Our aim is to increase safety for workers in hazardous industrial environments by using advanced control, perception and planning algorithms.
The Camozzi Group is a market leader in the production of components for the pneumatics automation with applications in the life science, health and the textile industry.
As a research line, we are applying our expertise in the modeling, control, and planning of nonlinear systems to the pneumatic field.
The goal of the project is to devise future wearable technologies and humanoid robots to maximise work ergonomy and technological acceptability of future industry and healthcare environments.
INAIL is the Italian National Institute for Insurance against Accidents at Work, it is a public authority that manages compulsory insurance against accidents at work and occupational diseases.
The spin-off idea from AMI is aiming at providing an integrated platform that enables real-time human health monitoring in terms of 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 for life-logging human health monitoring for industrial, rehabilitation, sports and gaming applications.
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