| 書目名稱 | Robotic Bin Picking for Potentially Tangled Objects | | 編輯 | Xinyi Zhang,Yukiyasu Domae,Kensuke Harada | | 視頻video | http://file.papertrans.cn/833/832641/832641.mp4 | | 概述 | Introduces methods to develop unified, dexterous, and robust bin picking systems for entangled objects.Considers rigid and deformable objects.Includes the recent advanced deep learning technologies | | 叢書名稱 | Springer Series in Advanced Manufacturing | | 圖書封面 |  | | 描述 | .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.. | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Robotics; Picking; Assembly; Motion Planning; Deep Learning; Vision | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-67454-9 | | isbn_softcover | 978-3-031-67456-3 | | isbn_ebook | 978-3-031-67454-9Series ISSN 1860-5168 Series E-ISSN 2196-1735 | | issn_series | 1860-5168 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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