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020 _a9783031674549
_9978-3-031-67454-9
024 7 _a10.1007/978-3-031-67454-9
_2doi
050 4 _aTJ210.2-211.495
072 7 _aTJFM1
_2bicssc
072 7 _aUYQ
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072 7 _aTEC037000
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072 7 _aUYQ
_2thema
100 1 _aZhang, Xinyi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986121
245 1 0 _aRobotic Bin Picking for Potentially Tangled Objects
_h[electronic resource] /
_cby Xinyi Zhang, Yukiyasu Domae, Weiwei Wan, Kensuke Harada.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXI, 129 p. 97 illus., 76 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Advanced Manufacturing,
_x2196-1735
505 0 _aBackground, Introduction and Motivation -- Part I Avoiding Picking Potentially Entangled Objects -- Deep Learning for Classifying Potential Entangled Objects -- Entanglement Map: A Visual Representation for Entangled Objects -- Shape Reconstruction of Entangled Objects -- Part II Disentangling Manipulation Planning for Entangled Objects -- Affordance Maps for Picking or Separating Entangled Objects -- Learning Efficient Policies for Entangled Wire Harnesses -- Dynamic and Bimanual Manipulation with F/T Feedback for Entangled Wire Harnesses -- Conclusions.
520 _aThis book introduces methods for bin picking in manufacturing. These methods can be used to develop unified, dexterous, and robust bin picking systems for entangled objects. The target objects include both rigid and deformable objects. Robotic bin picking is a valuable task in manufacturing, aiming to automate the assembly process by utilizing robots to pick necessary objects from disorganized bins. Previous studies have addressed various challenges related to bin picking. However, when objects with complex shapes or deformable properties are randomly placed in a bin, they tend to get entangled, making it difficult for the robot to pick up individual items. This poses challenges in perception, as the robot must be capable of distinguishing between isolated objects and potentially tangled ones in a cluttered environment. This book is of interest to students, researchers, and professionals in manufacturing industries.
650 0 _aRobotics.
_959148
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 0 _aIndustries.
_967490
650 0 _aControl engineering.
650 0 _aAutomation.
_959149
650 0 _aMechatronics.
_968795
650 1 4 _aRobotics.
_959148
650 2 4 _aIndustrial and Production Engineering.
650 2 4 _aIndustries.
_967490
650 2 4 _aControl, Robotics, Automation.
650 2 4 _aMechatronics.
_968795
700 1 _aDomae, Yukiyasu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986122
700 1 _aWan, Weiwei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986123
700 1 _aHarada, Kensuke.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986124
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031674532
776 0 8 _iPrinted edition:
_z9783031674556
776 0 8 _iPrinted edition:
_z9783031674563
830 0 _aSpringer Series in Advanced Manufacturing,
_x2196-1735
_965855
856 4 0 _uhttps://doi.org/10.1007/978-3-031-67454-9
912 _aZDB-2-EDA
912 _aZDB-2-SXED
999 _c64245
_d64245