Objective
Physical disabilities due to illness, injury, or ageing can alter the way a person moves around the house, manipulates objects and senses their home. These issues make it harder for persons to execute daily home activities on their own, and therefore specialized professionals are required to take care of them. However, the growing elderly population and the persons having basic activity difficulties or suffering from long-standing diseases are saturating the health systems due to insufficient infrastructures and over-demand for health carers. Robotics-based solutions are a promising alternative to support the human labour at health care. This project focuses on how robotic assistants can be exploited to provide independence and empower people with different kinds of mobility problems. Specifically, the main goal is to assist these persons in dressing themselves, which has been found to be an important task for independent living. In this sense, a robotic dressing assistant needs to skilfully manipulate clothes, physically interact with the human, recognize his/her intentions and actions, and easily adapt to changes in the clothing, user posture, and degree of mobility of the assisted person. These highly complex features are tackled in this proposal from a robot learning perspective, in which programming-by-demonstration, reinforcement and interactive learning will be combined to create both sophisticated manipulation skills and safe assistance behaviours. The proposal envisions three different real experimental scenarios to test the proposed approaches and show their performance with real (able-bodied) participants (with restricted motion). This project will not only advance the state of the art in assistive robotics, robot learning and human-safe control, but also will play a major role in helping persons with reduced mobility to live independently for longer and with a better quality of life.
Fields of science (EuroSciVoc)
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28006 Madrid
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.