Objective
Research objectives and content
Mobile manipulators are robotic systems where manipulator arms are mounted on mobile robotic platforms, thus increasing the workspace of the arm, while, on the same time, endowing the mobile robot with the ability to interact with its environment by tools or sensors mounted on the arm. Systems of this type, which are subject to nonholonomic motion constraints like the ones occuring in many wheeled mobile robots, are of particular interest for practical applications. The presence of these motion constraints makes some promising sensor-based control schemes, like visual servoing, difficult to apply in systems of this type.
However, a nonholonomic visual servoing framework has been recently proposed, the initial development which, is limited to the case of a one degree-of-freedom (d.o.f.) arm and to positioning and stabilization of the system with respect to a static target. We propose to study extensions to multi-d.o.f. arms and to moving targets, as well as related robustness issues, in order to make this method appea- ling to applications in e.g. industrial flexible manufacturing systems.
It is expected that the first eight months of the project will be devoted to the theoretical part of this work and to relevant simulation studies, while the last four months will be devoted to its experimental evaluation. Training content (objectie, benefit and expected impact)
Training objectives include further familiarization with research on the nonlinear stabilization problem, on homogeneous approximations of nonlinear systems and on robust nonlinear control techniques, with computer vision research related to non-metric and qualitative vision, as well as with tools and techniques relevant to real-time implementations of the above. These skills are complementary to our past work on nonlinear geometric control, geometric mechanics and active vision.
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 artificial intelligence computer vision
- 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)
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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.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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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
06902 SOPHIA ANTIPOLIS
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.