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001 978-3-319-15699-6
003 DE-He213
005 20200421111157.0
007 cr nn 008mamaa
008 150223s2015 gw | s |||| 0|eng d
020 _a9783319156996
_9978-3-319-15699-6
024 7 _a10.1007/978-3-319-15699-6
_2doi
050 4 _aTJ210.2-211.495
050 4 _aT59.5
072 7 _aTJFM1
_2bicssc
072 7 _aTEC037000
_2bisacsh
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.892
_223
100 1 _aMontijano, Eduardo.
_eauthor.
245 1 0 _aDistributed Consensus with Visual Perception in Multi-Robot Systems
_h[electronic resource] /
_cby Eduardo Montijano, Carlos Sag�u�es.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXII, 159 p. 46 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aImage processing.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 1 4 _aEngineering.
650 2 4 _aRobotics and Automation.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aControl.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aSag�u�es, Carlos.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319156989
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-15699-6
912 _aZDB-2-ENG
942 _cEBK
999 _c53570
_d53570