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Showing 1 - 25 of
47 matches in All Departments
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Crime and Its Causes
William Douglas Morrison
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R917
Discovery Miles 9 170
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Ships in 12 - 19 working days
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The Female Offender
Cæsar Lombroso, William Ferrero, W. Douglas Morrison
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R765
Discovery Miles 7 650
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Ships in 10 - 15 working days
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Crime and Its Causes
William Douglas Morrison
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R635
Discovery Miles 6 350
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Ships in 10 - 15 working days
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For robots to navigate and interact more richly with the world
around them, they will likely require a deeper understanding of the
world in which they operate. In robotics and related research
fields, the study of understanding is often referred to as
semantics, which dictates what does the world 'mean' to a robot,
and is strongly tied to the question of how to represent that
meaning. With humans and robots increasingly operating in the same
world, the prospects of human-robot interaction also bring
semantics and ontology of natural language into the picture. Driven
by need, as well as by enablers like increasing availability of
training data and computational resources, semantics is a rapidly
growing research area in robotics. The field has received
significant attention in the research literature to date, but most
reviews and surveys have focused on particular aspects of the
topic: the technical research issues regarding its use in specific
robotic topics like mapping or segmentation, or its relevance to
one particular application domain like autonomous driving. A new
treatment is therefore required, and is also timely because so much
relevant research has occurred since many of the key surveys were
published. This survey provides an overarching snapshot of where
semantics in robotics stands today. We establish a taxonomy for
semantics research in or relevant to robotics, split into four
broad categories of activity in which semantics are extracted,
used, or both. Within these broad categories, we survey dozens of
major topics including fundamentals from the computer vision field
and key robotics research areas utilizing semantics such as
mapping, navigation and interaction with the world. The survey also
covers key practical considerations, including enablers like
increased data availability and improved computational hardware,
and major application areas where semantics is or is likely to play
a key role. In creating this survey, we hope to provide researchers
across academia and industry with a comprehensive reference that
helps facilitate future research in this exciting field.
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