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008			200508s2020 gw a o |||| 0|eng d
020			_a9783030356798
024	7		_a10.1007/978-3-030-35679-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHF5415.7 _b2020 EB
245	0	0	_aAdvances on Robotic Item Picking : _bApplications in Warehousing & E-Commerce Fulfillment / _cedited by Albert Causo, Joseph Durham, Kris Hauser, Kei Okada, Alberto Rodriguez
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020
300			_a1 recurso en línea (VIII, 152 páginas) _b84 ilustraciones, 74 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- The challenges of automated item picking: the last mile of logistics for e-commerce -- Robotic Sensing for Item Picking -- Gripper Design and Grasping Strategies -- Machine Learning for Item Identification and Pose Estimation -- Machine Learning for Motion Planning -- Efficient Task Planning Strategies.
520	3		_aThis book is a compilation of advanced research and applications on robotic item picking and warehouse automation for e-commerce applications. The works in this book are based on results that came out of the Amazon Robotics Challenge from 2015-2017, which focused on fully automated item picking in warehouse setting, a topic that has been assumed too complicated to solve or has been reduced to a more tractable form of bin picking or single-item table top picking. The book's contributions reveal some of the top solutions presented from the 50 participant teams. Each solution works to address the time-constraint, accuracy, complexity, and other difficulties that come with warehouse item picking. The book covers topics such as grasping and gripper design, vision and other forms of sensing, actuation and robot design, motion planning, optimization, machine learning and artificial intelligence, software engineering, and system integration, among others. Through this book, the authors describe how robot systems are built from the ground up to do a specific task, in this case, item picking in a warehouse setting. The compiled works come from the best robotics research institutions and companies globally. Presents an inside look at the various solutions for automated warehouse item picking based on the Amazon Robotics Challenge (ARC) Contains details of the challenges and solutions involved in automating item picking Provides details and insights on the solutions of the winning teams Includes chapters written by scientists and engineers at the forefront of robotics research.
988			_aSpringer_Engineering_23062020
650		7	_aDistribución comercial _xGestión _2embne _9375597
650		7	_aRobots industriales _2embne _9145101
650		7	_aAutomatización _2embne _9413132
700	1		_aCauso, Albert _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDurham, Joseph _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n88068156 _1http://viaf.org/viaf/164958308
700	1		_aHauser, Kris _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n84031423 _1http://viaf.org/viaf/75245978
700	1		_aOkada, Kei _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n97846344 _1http://viaf.org/viaf/46059331
700	1		_aRodriguez, Alberto _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/265150982
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9783030356781
776	0	8	_iPrinted edition: _z9783030356804
776	0	8	_iPrinted edition: _z9783030356811
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-35679-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2020 _dz _eo _zSI