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Shepherding UxVs for Human-Swarm Teaming - An Artificial Intelligence Approach to Unmanned X Vehicles (Hardcover, 1st ed. 2021)
Loot Price: R5,625
Discovery Miles 56 250
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Shepherding UxVs for Human-Swarm Teaming - An Artificial Intelligence Approach to Unmanned X Vehicles (Hardcover, 1st ed. 2021)
Series: Unmanned System Technologies
Expected to ship within 10 - 15 working days
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This book draws inspiration from natural shepherding, whereby a
farmer utilizes sheepdogs to herd sheep, to inspire a scalable and
inherently human friendly approach to swarm control. The book
discusses advanced artificial intelligence (AI) approaches needed
to design smart robotic shepherding agents capable of controlling
biological swarms or robotic swarms of unmanned vehicles. These
smart shepherding agents are described with the techniques
applicable to the control of Unmanned X Vehicles (UxVs) including
air (unmanned aerial vehicles or UAVs), ground (unmanned ground
vehicles or UGVs), underwater (unmanned underwater vehicles or
UUVs), and on the surface of water (unmanned surface vehicles or
USVs). This book proposes how smart 'shepherds' could be designed
and used to guide a swarm of UxVs to achieve a goal while
ameliorating typical communication bandwidth issues that arise in
the control of multi agent systems. The book covers a wide range of
topics ranging from the design of deep reinforcement learning
models for shepherding a swarm, transparency in swarm guidance, and
ontology-guided learning, to the design of smart swarm guidance
methods for shepherding with UGVs and UAVs. The book extends the
discussion to human-swarm teaming by looking into the real-time
analysis of human data during human-swarm interaction, the concept
of trust for human-swarm teaming, and the design of activity
recognition systems for shepherding. Presents a comprehensive look
at human-swarm teaming; Tackles artificial intelligence techniques
for swarm guidance; Provides artificial intelligence techniques for
real-time human performance analysis.
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