04031nam a22006735i 4500 978-3-031-67454-9 DE-He213 20251030113229.0 cr nn 008mamaa 241016s2024 sz | s |||| 0|eng d 9783031674549 978-3-031-67454-9 10.1007/978-3-031-67454-9 doi TJ210.2-211.495 TJFM1 bicssc UYQ bicssc TEC037000 bisacsh TJFM1 thema UYQ thema Zhang, Xinyi. author. aut http://id.loc.gov/vocabulary/relators/aut 86121 Robotic Bin Picking for Potentially Tangled Objects [electronic resource] / by Xinyi Zhang, Yukiyasu Domae, Weiwei Wan, Kensuke Harada. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 129 p. 97 illus., 76 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Series in Advanced Manufacturing, 2196-1735 Background, 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. This 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. Robotics. 59148 Industrial engineering. Production engineering. Industries. 67490 Control engineering. Automation. 59149 Mechatronics. 68795 Robotics. 59148 Industrial and Production Engineering. Industries. 67490 Control, Robotics, Automation. Mechatronics. 68795 Domae, Yukiyasu. author. aut http://id.loc.gov/vocabulary/relators/aut 86122 Wan, Weiwei. author. aut http://id.loc.gov/vocabulary/relators/aut 86123 Harada, Kensuke. author. aut http://id.loc.gov/vocabulary/relators/aut 86124 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031674532 Printed edition: 9783031674556 Printed edition: 9783031674563 Springer Series in Advanced Manufacturing, 2196-1735 65855 https://doi.org/10.1007/978-3-031-67454-9 ZDB-2-EDA ZDB-2-SXED 64245 64245