000			03247nam a22003495i 4500
001			103283
003			DE-He213
005			20240111050146.0
007			cr nn 008mamaa
008			160206s2015 gw | s |||| 0|eng d
020			_a9783319263274
024	7		_a10.1007/978-3-319-26327-4 _2doi
050		4	_aTJ211.35 _bH363 2015 EB
040			_aES-MaUEC _bspa
245	1	0	_aHandling Uncertainty and Networked Structure in Robot Control _cedited by Lucian Busoniu, Levente Tamás.
250			_a1st edition
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XXVIII, 388 páginas 172 ilustraciones, 26 ilustraciones a color.)
490	0		_aStudies in Systems, Decision and Control _x2198-4182 ; _v42
505	0		_aFrom the Contents: Part I Learning Control in Unknown Environments -- Robot Learning for Persistent Autonomy -- The Explore-Exploit Dilemma in Nonstationary Decision Making under Uncertainty.- Part II Dealing with Sensing Uncertainty -- Observer Design for Robot Manipulators via Takagi-Sugeno Models and Linear Matrix Inequalities.- Part III Control of Networked and Interconnected Robots -- Vision-based quadcopter navigation in structured environments.
520	3		_aThis book focuses on two challenges posed in robot control by the increasing adoption of robots in the everyday human environment: uncertainty and networked communication. Part I of the book describes learning control to address environmental uncertainty. Part II discusses state estimation, active sensing, and complex scenario perception to tackle sensing uncertainty. Part III completes the book with control of networked robots and multi-robot teams. Each chapter features in-depth technical coverage and case studies highlighting the applicability of the techniques, with real robots or in simulation. Platforms include mobile ground, aerial, and underwater robots, as well as humanoid robots and robot arms. Source code and experimental data are available at http://extras.springer.com. The text gathers contributions from academic and industry experts, and offers a valuable resource for researchers or graduate students in robot control and perception. It also benefits researchers in related areas, such as computer vision, nonlinear and learning control, and multi-agent systems.
650		7	_aRobots _xSistemas de control _9667114 _2embne
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aBusoniu, Lucian _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n2010018668 _1http://viaf.org/viaf/107964871/
700	1		_aTamás, Levente _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/no2016077249 _1http://viaf.org/viaf/20865953/
776	0	8	_iEdición impresa: _z9783319263250
776	0	8	_iEdición impresa: _z9783319263267
776	0	8	_iEdición impresa: _z9783319799322
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-26327-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
998			_b03/2019 _dz _ef _feng _ggw _h0
999			_c103283 _d103283 _x1