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001			96283
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006			m o d
007			cr nn||||mamaa
008			170513s2017 sz a ob 001 0 eng d
020			_a3319578286
020			_a9783319578286
020			_z3319578278
020			_z9783319578279
040			_aAZU _cAZU _dOCLCO _dUPM _dYDX _dN$T _dGW5XE _dEBLCP _dUAB _dESU _dOCLCF _dIOG _dCOO _dMERER _dOCLCQ _dOH1 _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aTJ211.35 _bA736 2017 EB
100	1		_aAranda, Miguel, _eautor
245	1	0	_aControl of Multiple Robots Using Vision Sensors _cby Miguel Aranda, Gonzalo López-Nicolás, Carlos Sagüés.
264		1	_aCham _bSpringer International Publishing : _bImprint _bSpringer _c2017.
300			_a1 recurso en línea (XIII, 187 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
490	0		_aAdvances in Industrial Control _x1430-9491
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas e índice
505	0		_aIntroduction -- Angle-based Navigation using the 1D Trifocal Tensor -- Vision-based Control for Nonholonomic Vehicles -- Controlling Mobile Robot Teams from 1D Homographies -- Control of Mobile Robot Formations using Aerial Cameras -- Coordinate-free Control of Multirobot Formations -- Conclusions and Directions for Future Research.
520	3		_aThis monograph introduces novel methods for the control and navigation of mobile robots using multiple-1-d-view models obtained from omni-directional cameras. This approach overcomes field-of-view and robustness limitations, simultaneously enhancing accuracy and simplifying application on real platforms. The authors also address coordinated motion tasks for multiple robots, exploring different system architectures, particularly the use of multiple aerial cameras in driving robot formations on the ground. Again, this has benefits of simplicity, scalability and flexibility. Coverage includes details of: a method for visual robot homing based on a memory of omni-directional images a novel vision-based pose stabilization methodology for non-holonomic ground robots based on sinusoidal-varying control inputs an algorithm to recover a generic motion between two 1-d views and which does not require a third view a novel multi-robot setup where multiple camera-carrying unmanned aerial vehicles are used to observe and control a formation of ground mobile robots and three coordinate-free methods for decentralized mobile robot formation stabilization. The performance of the different methods is evaluated both in simulation and experimentally with real robotic platforms and vision sensors. Control of Multiple Robots Using Vision Sensors will serve both academic researchers studying visual control of single and multiple robots and robotics engineers seeking to design control systems based on visual sensors. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650		7	_aRobots _xControl systems. _2fast _0(OCoLC)fst01099044 _9140106 _0comprobar BNE19900980849
700	1		_aLópez-Nicolás, Gonzalo, _eautor
700	1		_aSagüés, Carlos, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-57828-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017D
998			_b02/2018 _dz _e- _zSI
999			_c96283 _d96283 _x1