Project description
Advanced Robotics
The DustBot project is aimed at designing, developing, testing and demonstrating a system for improving the management of urban hygiene based on a network of autonomous and cooperating robots, embedded in an Ambient Intelligence infrastructure.
The DustBot project is aimed at designing, developing and testing a system for improving the management of urban hygiene based on a network of autonomous and cooperating robots, embedded in an Ambient Intelligence infrastructure.
The robots will be able to operate in partially unstructured environments (such as squares, streets, parks, etc.) and to vacuumclean them from rubbish and dirt. They will be able to transport small quantities of home garbage, collected on demand from citizens, at their doors. By using preloaded information on the environment (e.g. area maps) and inputs from on-board and external sensory systems, and by taking advantage of the benefits provided by the Ambient Intelligence platform, the robot will be able to move with a proper (and selectable) level of autonomy to carry out its tasks.
The robots will be also equipped with multiple sensors for the monitoring of air (e.g. nitrogen oxides ?NOx-; sulphur oxides ?SOx-; ozone -O3-, benzene, COx, etc.), giving in real time information on the environmental quality in real time. Robots will work as mobile stations, which will monitor pollutants levels in highly populated areas (as well as pedestrian, central areas). Acquired data will be also transferred onto dedicated databases by utilizing the features of the ubiquitous communications network.
The robots and sensors will be part of an Ambient Intelligence platform, which will integrate not only sensors and tools for monitoring the environment and robot tasks execution, but also communications backhaul systems during clean up/emergency operations, databases technologies, knowledge discovery in databases (KDD) processes for extracting and increasing knowledge on urban hygiene management. Following the computation on stored data, feedback will be sent back to human actors (supervisors, decision makers, such as municipality managers, etc.) and/or artificial actuators, in order to perform actions.
The DustBot project is aimed at designing, developing and testing a system for improving the management of urban hygiene based on a network of autonomous and cooperating robots, embedded in an Ambient Intelligence infrastructure.The robots will be able to operate in partially unstructured environments (such as squares, streets, parks, etc.) and to vacuumclean them from rubbish and dirt. They will be able to transport small quantities of home garbage, collected on demand from citizens, at their doors. By using preloaded information on the environment (e.g. area maps) and inputs from on-board and external sensory systems, and by taking advantage of the benefits provided by the Ambient Intelligence platform, the robot will be able to move with a proper (and selectable) level of autonomy to carry out its tasks. The robots will be also equipped with multiple sensors for the monitoring of air (e.g. nitrogen oxides ?NOx-; sulphur oxides ?SOx-; ozone -O3-, benzene, COx, etc.), giving in real time information on the environmental quality in real time. Robots will work as mobile stations, which will monitor pollutants levels in highly populated areas (as well as pedestrian, central areas). Acquired data will be also transferred onto dedicated databases by utilizing the features of the ubiquitous communications network. The robots and sensors will be part of an Ambient Intelligence platform, which will integrate not only sensors and tools for monitoring the environment and robot tasks execution, but also communications backhaul systems during clean up/emergency operations, databases technologies, knowledge discovery in databases (KDD) processes for extracting and increasing knowledge on urban hygiene management. Following the computation on stored data, feedback will be sent back to human actors (supervisors, decision makers, such as municipality managers, etc.) and/or artificial actuators, in order to perform actions.
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.
- natural sciences computer and information sciences databases
- 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)
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.
FP6-2005-IST-6
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
56025 Pontedera
Italy
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.