Objective
The aim of the RAWSEEDS project is to stimulate and support progress in autonomous robotics by providing a comprehensive, high-quality benchmarking toolkit. The absence of standard benchmarks is a widely acknowledged problem in the field, and is doubly harmful to it: firstly, because it impedes recognition of scientific and technical progress, thus discouraging research and development; and secondly, because it prevents new actors (and particularly SMEs) from entering the robotic sector, as heavy investments are needed to compensate for that absence. RAWSEEDS will also perform all the actions needed for a rapid and thorough dissemination of its results through the academic and industrial domains (e.g. setup of a website, documentation and support actions, workshops, competitions, publications). The benchmarking toolkit that RAWSEEDS will create includes: high-quality multi-sensorial data sets, benchmark problems based on them, state-of-the-art solutions to these problems in the form of algorithms and software, and methodologies for the assessment of algorithms.
The RAWSEEDS project will obtain its objectives through the following actions:
1. Definition of a set of high-quality benchmarks and methodologies for the assessment of algorithms and software for autonomous robotics applications. The benchmarks will be focused on the problems of sensorial data analysis, sensor fusion, localization, mapping and Simultaneous Localization And Mapping (SLAM).
2. Creation of a website from which researchers and enterprises will be able to download these benchmarks, contribute new material and communicate with each other.
3. Dissemination of knowledge about the RAWSEEDS benchmarks and website.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots
- 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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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.
Coordinator
MILANO
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.