Objective
Industrial, commercial, civil and service premises, such as supermarkets and airports have huge floor surfaces to be cleaned daily and infra-daily.
These activities are time demanding in terms of human repetitive activities and take place at sundry times, not necessarily covering a work-shift duration; this depends on the kind of premise and available time slots as well as on the type of organisation. The floor washing activities are favourably suited for robotization.
Currently it does not exists a robot that satisfies the requirements of the professional users and cleaning services companies. Floor washing tasks are demanding under many aspects: autonomy of operation, navigation precision, safety with regards to humans and goods, interaction with the human cleaning personnel, cleaning operations on demand during opening hours, presence of multiple robots at the same time in the same building, optimization of paths, easy set-up of path and duties without reprogramming.
The project FLOBOT addresses these problems, integrating existing solutions and knowledge of the partners to produce a professional floor washing robot for wide area of industrial, civil and commercial premises. The work that will be caried out on production prototypes will be at TRL8.
The FLOBOT project derives requirements from professional users and implements four use case validations in real world operational environments: Supermarkets, Airport, Civil Buildings
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 software development
- natural sciences computer and information sciences artificial intelligence computer vision object detection
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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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.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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H2020-EU.2.1.1.5. - Advanced interfaces and robots: Robotics and smart spaces
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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.
IA - Innovation action
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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-ICT-2014
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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.
1060 Lefkosia
Cyprus
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.