Name: Shepherding Uxvs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles (en Inglés)
Price: 1141824.00 COP
Availability: InStock
Author: Abbass, Hussein a. ; Hunjet, Robert A.
ISBN: 9783030608972

portada Shepherding Uxvs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Abbass, Hussein a. ; Hunjet, Robert A.

Idioma

Inglés

N° páginas

330

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 2.1 cm

Peso

0.67 kg.

ISBN13

9783030608972

Categorías

Ingeniería eléctrica
Robótica
Ingeniería de las comunicaciones y las telecomunicaciones

Shepherding Uxvs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles (en Inglés)

Abbass, Hussein A. ; Hunjet, Robert A. (Autor) · Springer · Tapa Dura

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Shepherding Uxvs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles (en Inglés)"

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 ofdeep 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.