Objective
Having robots that are able to understand, communicate and coordinate with humans executing daily tasks is one of the dreams of society. Moreover, when people interact with robots, they expect the robots to behave in a certain manner, and tend to apply them social models, similarly as how they behave when meeting a new person. Therefore, besides typical perception, reasoning and motion abilities (which have been largely studied so far), the robots also need to have certain abilities to enhance their social behavior when interacting with people. Such abilities are: (i) being proactive, i.e. capability to propose tasks when detecting relevant context, instead of waiting for the human to explicitly ask for something, (ii) perform understandable actions, i.e. show intentions so the human can easily understand and be aware of the robot's actions, (iii) achieve social acceptance, i.e. take into account human preferences so the human feels comfortable with the robot's task execution, (iv) learn, i.e. not only to improve the current knowledge of the robot, but to increase it and to adapt its behavior to the different contexts it may encounter. The main goal of this project is to provide the robot with a reasoning approach to select the most appropriate task execution based on the humans’ preferences and social facts and to improve the robot's behavior as the experience with humans increases. To this end, we propose to design a decisional framework that includes a user modeling approach (stereotype based) and a machine learning technique (case-based reasoning). To evaluate the approach, experiments in simulation and using real robots will be performed.
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.
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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.
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-2007-2-1-IEF
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
75794 PARIS
France
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.