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dc.contributor.author Carlo en_US
dc.contributor.author Mauro en_US
dc.contributor.author Elio en_US
dc.contributor.author Marco en_US
dc.contributor.author Marco en_US
dc.contributor.author Thamas en_US
dc.contributor.author Dario en_US
dc.contributor.editor Marco en_US
dc.contributor.editor Mauro en_US
dc.contributor.editor Christian en_US
dc.contributor.editor Maurice en_US
dc.contributor.editor Thomas en_US
dc.contributor.editor Alan F. T. en_US
dc.date.accessioned 2010-09-07T16:46:32Z
dc.date.available 2010-09-07T16:46:32Z
dc.date.issued 2008-09-01 en_US
dc.identifier http://dx.doi.org/10.1007/978-3-540-87527-7_36 en_US
dc.identifier 978-3-540-87526-0 en_US
dc.identifier 978-3-540-87527-7 en_US
dc.identifier.citation Pinciroli , C , Birattari , M , Tuci , E , Dorigo , M , Del Rey Zapatero , M , Vinko , T & Izzo , D 2008 , ' Lattice Formation in Space for a Swarm of Pico Satellites ' . in M Dorigo , M Birattari , C Blum , M Clerc , T Stützle & A F T Winfield (eds) , Ant Colony Optimization and Swarm Intelligence : 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008. Proceedings . Lecture Notes in Computer Science , vol. 5217 , Springer Science+Business Media , pp. 347-354 , 6th International Conference, ANTS 2008 , Brussels , Belgium , 22-24 September . , 10.1007/978-3-540-87527-7_36 en_US
dc.identifier.citation conference en_US
dc.identifier.other PURE: 508078 en_US
dc.identifier.other dspace: 2160/5407 en_US
dc.identifier.uri http://hdl.handle.net/2160/5407
dc.description.abstract We present a distributed control strategy that lets a swarm of satellites autonomously form a lattice in orbit around a planet. The system, based on the artificial potential field approach, proposes a novel way to split the artificial field in two main terms: a global artificial field that gathers the satellites around a predefined meeting point, and a local term that allows a satellite to place itself in the correct position relative to its closest neighbors. We apply the method to the problem of forming a two dimensional hexagonal lattice, using the well-known Lennard-Jones potential as local artificial field. The control parameters have been obtained with a genetic algorithm to maximize the precision of the formed lattice. The precision does not depend on the number of satellites and convergence is achieved from all initial distributions of the satellites. en_US
dc.format.extent 8 en_US
dc.publisher Springer Science+Business Media en_US
dc.relation.ispartof Ant Colony Optimization and Swarm Intelligence en_US
dc.relation.ispartofseries Lecture Notes in Computer Science en_US
dc.title Lattice Formation in Space for a Swarm of Pico Satellites en_US
dc.contributor.pbl Department of Computer Science en_US
dc.contributor.pbl Intelligent Robotics Group en_US


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