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Modelling Human Motion - From Human Perception to Robot Design (Hardcover, 1st ed. 2020)
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Modelling Human Motion - From Human Perception to Robot Design (Hardcover, 1st ed. 2020)
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The new frontiers of robotics research foresee future scenarios
where artificial agents will leave the laboratory to progressively
take part in the activities of our daily life. This will require
robots to have very sophisticated perceptual and action skills in
many intelligence-demanding applications, with particular reference
to the ability to seamlessly interact with humans. It will be
crucial for the next generation of robots to understand their human
partners and at the same time to be intuitively understood by them.
In this context, a deep understanding of human motion is essential
for robotics applications, where the ability to detect, represent
and recognize human dynamics and the capability for generating
appropriate movements in response sets the scene for higher-level
tasks. This book provides a comprehensive overview of this
challenging research field, closing the loop between perception and
action, and between human-studies and robotics. The book is
organized in three main parts. The first part focuses on human
motion perception, with contributions analyzing the neural
substrates of human action understanding, how perception is
influenced by motor control, and how it develops over time and is
exploited in social contexts. The second part considers motion
perception from the computational perspective, providing
perspectives on cutting-edge solutions available from the Computer
Vision and Machine Learning research fields, addressing
higher-level perceptual tasks. Finally, the third part takes into
account the implications for robotics, with chapters on how motor
control is achieved in the latest generation of artificial agents
and how such technologies have been exploited to favor human-robot
interaction. This book considers the complete human-robot cycle,
from an examination of how humans perceive motion and act in the
world, to models for motion perception and control in artificial
agents. In this respect, the book will provide insights into the
perception and action loop in humans and machines, joining together
aspects that are often addressed in independent investigations. As
a consequence, this book positions itself in a field at the
intersection of such different disciplines as Robotics,
Neuroscience, Cognitive Science, Psychology, Computer Vision, and
Machine Learning. By bridging these different research domains, the
book offers a common reference point for researchers interested in
human motion for different applications and from different
standpoints, spanning Neuroscience, Human Motor Control, Robotics,
Human-Robot Interaction, Computer Vision and Machine Learning.
Chapter 'The Importance of the Affective Component of Movement in
Action Understanding' of this book is available open access under a
CC BY 4.0 license at link.springer.com.
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