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teaching:mfe:ia [2013/04/03 11:06] stuetzle |
teaching:mfe:ia [2014/04/17 20:33] mdorigo |
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* Contact: [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]] and Carlo Pinciroli (IRIDIA) | * Contact: [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]] and Carlo Pinciroli (IRIDIA) | ||
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- | ===== Self-organized visual coverage in a swarm of robots ===== | ||
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- | Systems composed of several inter-connected cameras are already a reality in our everyday lives. The prime application of such systems is video-surveillance, but the possibilities offered by multiple-camera systems can extend to other interesting scenarios, such as environment mapping, 3D shape-reconstruction and object recognition. In all these scenarios, the problem of finding the right | ||
- | position of a set of cameras in order to maximize the visual field, or the amount of information available, is not always a simple one. Furthermore, systems consisting of cameras in a fixed position present obvious issues of robustness and flexibility. | ||
- | Multi-robots systems can provide an interesting mean to overcome this issues. Robots navigating in the enviroment can change their position as a result of changes in the enviroment or in the overall system's objective. A centralized control solution for these systems is still not a desirable one, as it introduces a single point of failure and it can suffer from performance issues. | ||
- | The Swarm Robotics paradigm offers a valid approach to the design of a multiple camera system. In this project, we want to study the possibility to develop a control strategy that enables a swarm of robots to position themselves into an unknown environment, maximizing the area covered by their visual fields, while relying only on their image processing system and on local communication. | ||
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- | Required skills: The candidate should be acquainted with C/C++ programming and have a | ||
- | working knowledge of the English language. | ||
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- | * Contact: [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]] and Alessandro Stranieri (IRIDIA) | ||
===== Automatic fitness function definition in evolutionary robotics ===== | ===== Automatic fitness function definition in evolutionary robotics ===== |