Objective
Multirobot systems (MRS) have recently been of great interest to environmental scientist, consequent to their ability to monitor large-scale atmospheric and aquatic environmental processes. Furthermore, the deployment of large numbers of relatively inexpensive robots for such monitoring purposes may soon be possible. However, considerable technological advances in platform reliability and endurance are required, to potentiate the wide-spread deployment and usage of MRS for environmental monitoring.
Fault tolerance is one of the most prominent challenges in the field of MRS. Efficient and long term operation of a MRS requires an accurate and timely detection, and accommodation of abnormally behaving robots. This is particularly relevant in environmental monitoring scenarios, wherein an undetected faulty robot may interfere with, and possibly damage the very system being monitored. Most existing fault tolerant systems prescribe a characterization of the normal robot behaviors, and train the fault-detection model to recognize these behaviors. Behaviors not recognized by the model are consequently labelled abnormal or faulty. However, these models assume a priori knowledge of normal behavior. In addition, MRS employing these models do not transition well to scenarios involving temporal changes in behavior (e.g. robots change their behavior through learning, or in response to environment perturbations).
The applicant proposes to develop a generic fault-detection system for a real-world environmental monitoring MRS. The developed system will be capable of robustly detecting faults, while adapting itself online to changes in the robot collectives behavior, thus avoiding the need to retrain the system for any new exhibited behavior. The developed system would also have a significant impact on long-term operations of MRS operating in other upcoming areas, such as the health care
industry (e.g. potential deployment of MRS in hospitals to interact with patients).
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-2013-IEF
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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
YO10 5DD York North Yorkshire
United Kingdom
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.