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007			cr nn 008mamaa
008			150223s2015 gw | s |||| 0|eng d
020			_a9783319156996
024	7		_a10.1007/978-3-319-15699-6 _2doi
040			_bspa _dES-MaUEC
050		4	_aTJ211 _b2015 EB
100	1		_aMontijano, Eduardo. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/869152636151220051289/
245	1	0	_aDistributed Consensus with Visual Perception in Multi-Robot Systems _cby Eduardo Montijano, Carlos Sagüés.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XII, 159 páginas 46 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Robotic Networks and the Consensus Problem -- The Data Association Problem -- D-RANSAC: Distributed Robot Consensus -- Fast Consensus with Chebyshev Polynomials -- Cooperative Topological Map Building Using Distributed Consensus -- Conclusions.
520	3		_aThis monograph introduces novel responses to the different problems that arise when multiple robots need to execute a task in cooperation, each robot in the team having a monocular camera as its primary input sensor. Its central proposition is that a consistent perception of the world is crucial for the good development of any multi-robot application. The text focuses on the high-level problem of cooperative perception by a multi-robot system: the idea that, depending on what each robot sees and its current situation, it will need to communicate these things to its fellows whenever possible to share what it has found and keep updated by them in its turn. However, in any realistic scenario, distributed solutions to this problem are not trivial and need to be addressed from as many angles as possible. Distributed Consensus with Visual Perception in Multi-Robot Systems covers a variety of related topics such as: ·         distributed consensus algorithms; ·         data association and robustness problems; ·         convergence speed; and ·         cooperative mapping. The book first puts forward algorithmic solutions to these problems and then supports them with empirical validations working with real images. It provides the reader with a deeper understanding of the problems associated to the perception of the world by a team of cooperating robots with onboard cameras. Academic researchers and graduate students working with multi-robot systems, or investigating problems of distributed control or computer vision and cooperative perception will find this book of material assistance with their studies.
988			_aEBSPRINGER_2018
650		7	_aSistemas de control inteligente _2embne _9407082
650		7	_9140106 _aRobots
700	1		_aSagüés, Carlos. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/313561724/
776	0	8	_iEdición impresa: _z9783319157009
776	0	8	_iEdición impresa: _z9783319156989
776	0	8	_iEdición impresa: _z9783319367101
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-15699-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI