Objective
The ability to perceive and understand our dynamic real world is critical for the next generation of multi-sensory robotic systems. One of the most important tasks is searching, but the biological mechanism is seen as an adaptive process that searches for an object of interest managing the limited available processing. Actually, cognitive robots require attention mechanisms to determine what parts of the sensory array they need to process, in the same way than the biological systems. In other words, attention consists in selecting the most relevant information from multi-sensory inputs to perform efficiently the search of a target. A first mechanism consists in a bottom-up approach that is inherent to the scenario and happens at a very early processing stage. This mechanism also includes some prior symbolic contextual knowledge about the target under consideration. This knowledge determines to a large extent the area that the robot will have to examine first, and it is usually expressed in natural language in the form of resources such as the lexica ontology and could be directly accessible by the robot to narrow down the visual search space.
Then, when the robot decides to examine a specific selected area, the robot should have the model of the target with information about its shape, size, color, or texture. This model should describe the target enough to allow the robot to efficiently find a small number of candidates. This second process is voluntary and is called top-down attention.
By providing multiple relevant contributions across the spectrum of the FP7 objectives in terms of its potential to advance robotic manufacturing, autonomous navigation, and computing paradigms, this project will enable the candidate to maintain and enhance his position at the forefront of advances in this field.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics cognitive robots
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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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2012-IOF
See other projects for this call
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
18071 GRANADA
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.