Robotic Bin Picking for Potentially Tangled Objects

Kensuke Harada

ISBN 10: 3031674561 / ISBN 13: 9783031674563

Published by Springer, 2025

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783031674563

Bibliographic Details

• Title: Robotic Bin Picking for Potentially Tangled Objects
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 3031674561
• ISBN 13: 9783031674563
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 8D millimeters 235 millimeters width by 155 millimeters height by 8 millimeters depth
• Weight: 257 grams

About this title

Synopsis

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.