Project description
Training ESRs in personalised robots technology
The personal robotics domain is raising new challenges concerning the need for robot behaviour with a high level of personalisation with respect to each user’s needs and preferences. The aim is to have a cloud repository of robot behaviours that allows an easy personalised configuration approach. This requires the investigation of different robot capabilities to adequately understand and model the human–robot interaction and adapt the robot’s behaviour to the context. The EU-funded PERSEO project will train early-stage researchers (ESRs) from the fields of computer science, philosophy, and psychology in how robotics technology can be personalised on the physical, cognitive and social levels. This will help the ESRs understand how to address social, legal and ethical issues that arise with the uptake of personal robots.
Objective
The ETN on PErsonalized Robotics as SErvice Oriented applications - PERSEO - aims at training a new generation of research and professional figures able to face the research challenges of the market of personal robots. The personal robotics domain presents several research challenges mainly related to the need for a high degree of personalization of the robot behaviour with respect to the specific users needs and preferences. Companies need to build solutions rooted in a deeper analysis of humans specificities before developing products for people. At the same time, academia needs to nurture the development of an extended research community with a set of interdisciplinary skills to investigate different robots capabilities for understanding and modelling the interaction with human beings, for adapting the robots behaviour to the context, and software integration mechanisms that allow an easy personalized configuration approach to limit the static and costly customization processes of a novel robotic system. The PERSEOs research program is organized into three Research Themes aimed at investigating personalization of robot capabilities at different levels of possible human-robot interaction, namely Physical, Cognitive, and Social. This requires a set of research skills ranging from computer science and AI to automation, ethics, and psychology. Fellows will deepen their knowledge in projects covering a specific research theme but, through training events, secondments, and peer collaborations will gain extensive knowledge in other areas so leading to a multidisciplinary research programme and the integration with other projects to achieve the proposed Integration Milestones. The project also aims at training Early Stage Researchers to address social, legal, and ethical issues that arise by the uptake of personal robots, as such skills are fundamental to achieve technological innovation which aligns with European social, ethical al legal values.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences software
- social sciences sociology industrial relations automation
- social sciences psychology
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
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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.1.3.1. - Fostering new skills by means of excellent initial training of researchers
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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-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)
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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-ITN-2020
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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.
80138 Napoli
Italy
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.