Advances on Robotic Item Picking - Applications in Warehousing & E-Commerce Fulfillment (Hardcover, 1st ed. 2020)

This book is a compilation of advanced research and applications on robotic item picking and warehouse automation for e-commerce applications. The works in this book are based on results that came out of the Amazon Robotics Challenge from 2015-2017, which focused on fully automated item picking in a warehouse setting, a topic that has been assumed too complicated to solve or has been reduced to a more tractable form of bin picking or single-item table top picking. The book's contributions reveal some of the top solutions presented from the 50 participant teams. Each solution works to address the time-constraint, accuracy, complexity, and other difficulties that come with warehouse item picking. The book covers topics such as grasping and gripper design, vision and other forms of sensing, actuation and robot design, motion planning, optimization, machine learning and artificial intelligence, software engineering, and system integration, among others. Through this book, the authors describe how robot systems are built from the ground up to do a specific task, in this case, item picking in a warehouse setting. The compiled works come from the best robotics research institutions and companies globally.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	May 2020
First published:	2020
Editors:	Albert Causo • Joseph Durham • Kris Hauser • Kei Okada • Alberto Rodriguez
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	152
Edition:	1st ed. 2020
ISBN-13:	978-3-03-035678-1
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Business & Economics > Business & management > Management of specific areas > Distribution & warehousing management Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	3-03-035678-7
Barcode:	9783030356781

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