Objective
The topic of Vision-Based Robot Navigation involves issues particular to computer vision methodologies, pattern recognition, motion planning, postgraduate training activities that address the development of intelligent robotic systems able to navigate in (partially) unknown and perception and machine learning. The young researchers to be employed are expected to have expertise in one of these areas. Through their possibly changing environments. This goal will be achieved through a framework which enhances RTD activities in European laboratories, already involvement in VIRGO, they will acquire experience in at least another one established in the aforementioned scientific area. Specifically, in of the above areas and, moreover, will develop insights in the general pursuing this goal, alternative environment representations based on visual scientific area of the project.
Moreover, they will experience the working practices of the different information will be studied and methods to process these representations and use them to control the motion of the mechanical parts of a robot will hosting sites, they will participate in the Network workshops and present be developed.
their work in conferences and, finally, through the involvement of The proposal focuses on the use of visual information in robot industry in VIRGO, they will make contacts with companies and acquire navigation (perhaps combined with the information provided by other valuable experience with respect to the working procedures of European industry and related work opportunities.
non-visual sensors), which will further enhance the navigational capabilities of a mobile platform, compared to traditional approaches that are confined to simple motion tasks (obstacle avoidance, wall following, etc.). In acquiring and processing the visual information, our approach is based on the Active and Qualitative vision paradigm, which offers many advantages for the particular task. The network will strive for the broader possible dissemination of the results and for industrial exploit-ation.
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
- natural sciences computer and information sciences artificial intelligence pattern recognition
- natural sciences computer and information sciences artificial intelligence machine learning
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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
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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
71110 IRAKLION
Greece
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.