000			03222nam a22004575i 4500
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005			20231104114448.0
007			cr nn 008mamaa
008			151031s2015 gw | s |||| 0|eng d
020			_a9783319258867 _z978-3-319-25886-7
024	7		_a10.1007/978-3-319-25886-7 _2doi
050		4	_aQ334-342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2thema006.3 _223
100	1		_aAragues, Rosario. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aParallel and Distributed Map Merging and Localization : _bAlgorithms, Tools and Strategies for Robotic Networks / _cby Rosario Aragues, Carlos Sagüés, Youcef Mezouar.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSpringerBriefs in Computer Science, _x2191-5768
520			_aThis work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinated tasks. After identifying the main issues associated with this problem, each chapter introduces a different distributed strategy for solving them. In addition to presenting a review of distributed algorithms for perception in localization and map merging, the text also provides the reader with the necessary tools for proposing new solutions to problems of multi-robot perception, as well as other interesting topics related to multi-robot scenarios. This work will be of interest to postgraduate students and researchers in the robotics and control communities, and will appeal to anyone with a general interest in multi-robot systems. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level. The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied.
650		0	_aArtificial intelligence.
650		0	_aComputer Communication Networks.
650		0	_aComputer vision.
650	1	4	_aArtificial Intelligence. _0http://scigraph.springernature.com/things/product-market-codes/I21000
650	2	4	_aRobotics and Automation. _0http://scigraph.springernature.com/things/product-market-codes/T19020
650	2	4	_aComputer Communication Networks. _0http://scigraph.springernature.com/things/product-market-codes/I13022
650	2	4	_aImage Processing and Computer Vision. _0http://scigraph.springernature.com/things/product-market-codes/I22021
700	1		_aSagüés, Carlos. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aMezouar, Youcef. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-3-319-25886-7 _3Springer eBooks _zOnline access link to the resource
912			_aZDB-2-SCS
999			_c200434622 _d52834
942			_2lcc _cEBK
041			_aeng