Electronic Resource

Shepherding UxVs for Human-Swarm Teaming

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001521	EB0002127	006.382 4 She	Central Library (OPAC)	Available

Detail Information

Series Title

Unmanned System Technologies

Call Number

006.382 4 She

Publisher

Switzerland : Springer Cham., 2021

Collation

xx, 330p.:Ill

Language

English

ISBN/ISSN

978-3-030-60898-9

Classification

006.382 4

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Swarm intelligence

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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