Robotic Bin Picking for Potentially Tangled Objects Robotic Bin Picking for Potentially Tangled Objects
Springer Series in Advanced Manufacturing

Robotic Bin Picking for Potentially Tangled Objects

Xinyi Zhang und andere
    • 149,99 €
    • 149,99 €

Beschreibung des Verlags

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.

GENRE
Gewerbe und Technik
ERSCHIENEN
2024
16. Oktober
SPRACHE
EN
Englisch
UMFANG
140
Seiten
VERLAG
Springer Nature Switzerland
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
41,5
 MB
Industry 4.0: Managing The Digital Transformation Industry 4.0: Managing The Digital Transformation
2017
Cybersecurity for Industry 4.0 Cybersecurity for Industry 4.0
2017
Value Networks in Manufacturing Value Networks in Manufacturing
2016
Operations Management in Automotive Industries Operations Management in Automotive Industries
2013
Design and Operation of Smart Reconfigurable Manufacturing Systems in Industry 4.0/5.0 Design and Operation of Smart Reconfigurable Manufacturing Systems in Industry 4.0/5.0
2025
Smart Manufacturing Blueprint: Navigating Industry 4.0 Across Diverse Sectors Smart Manufacturing Blueprint: Navigating Industry 4.0 Across Diverse Sectors
2025