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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.
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.
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