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Autonomy and unmanned vehicles = aug...

MahmoudZadeh, Somaiyeh.

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Autonomy and unmanned vehicles = augmented reactive mission and motion planning architecture /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Autonomy and unmanned vehicles/ by Somaiyeh MahmoudZadeh, David M. W. Powers, Reza Bairam Zadeh.
Reminder of title:	augmented reactive mission and motion planning architecture /
Author:	MahmoudZadeh, Somaiyeh.
other author:	Powers, David M. W.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	xiv, 107 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction to Autonomy and Applications -- State-of-the-art in UVs' Autonomous Mission Planning and Task Managing Approach -- State-of-the-art in UVs' Autonomous Motion Planning -- Advancing Autonomy by Developing a Mission Planning Architecture -- Mission Planning in Terms of Task-Time Management and Routing -- AUV Online Real-Time Motion Planning -- Augmented Reactive Mission Planning Architecture.
Contained By:	Springer eBooks
Subject:	Vehicles, Remotely piloted - Automatic control. -
Online resource:	https://doi.org/10.1007/978-981-13-2245-7
ISBN:	9789811322457

Autonomy and unmanned vehicles = augmented reactive mission and motion planning architecture /
MahmoudZadeh, Somaiyeh.

Autonomy and unmanned vehiclesaugmented reactive mission and motion planning architecture /[electronic resource] :by Somaiyeh MahmoudZadeh, David M. W. Powers, Reza Bairam Zadeh. - Singapore :Springer Singapore :2019. - xiv, 107 p. :ill. (some col.), digital ;24 cm. - Cognitive science and technology,2195-3988. - Cognitive science and technology..

Introduction to Autonomy and Applications -- State-of-the-art in UVs' Autonomous Mission Planning and Task Managing Approach -- State-of-the-art in UVs' Autonomous Motion Planning -- Advancing Autonomy by Developing a Mission Planning Architecture -- Mission Planning in Terms of Task-Time Management and Routing -- AUV Online Real-Time Motion Planning -- Augmented Reactive Mission Planning Architecture.

This book addresses higher-lower level decision autonomy for autonomous vehicles, and discusses the addition of a novel architecture to cover both levels. The proposed framework's performance and stability are subsequently investigated by employing different meta-heuristic algorithms. The performance of the proposed architecture is shown to be largely independent of the algorithms employed; the use of diverse algorithms (subjected to the real-time performance of the algorithm) does not negatively affect the system's real-time performance. By analyzing the simulation results, the book demonstrates that the proposed model provides perfect mission timing and task management, while also guaranteeing secure deployment. Although mainly intended as a research work, the book's review chapters and the new approaches developed here are also suitable for use in courses for advanced undergraduate or graduate students.

ISBN: 9789811322457

Standard No.: 10.1007/978-981-13-2245-7doiSubjects--Topical Terms:

3412333
Vehicles, Remotely piloted
--Automatic control.

LC Class. No.: TL152.8 / .M34 2019

Dewey Class. No.: 629.23

Autonomy and unmanned vehicles = augmented reactive mission and motion planning architecture /
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100 1 $a MahmoudZadeh, Somaiyeh. $3 3412330
245 1 0 $a Autonomy and unmanned vehicles $h [electronic resource] : $b augmented reactive mission and motion planning architecture / $c by Somaiyeh MahmoudZadeh, David M. W. Powers, Reza Bairam Zadeh.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xiv, 107 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Cognitive science and technology, $x 2195-3988
505 0 $a Introduction to Autonomy and Applications -- State-of-the-art in UVs' Autonomous Mission Planning and Task Managing Approach -- State-of-the-art in UVs' Autonomous Motion Planning -- Advancing Autonomy by Developing a Mission Planning Architecture -- Mission Planning in Terms of Task-Time Management and Routing -- AUV Online Real-Time Motion Planning -- Augmented Reactive Mission Planning Architecture.
520 $a This book addresses higher-lower level decision autonomy for autonomous vehicles, and discusses the addition of a novel architecture to cover both levels. The proposed framework's performance and stability are subsequently investigated by employing different meta-heuristic algorithms. The performance of the proposed architecture is shown to be largely independent of the algorithms employed; the use of diverse algorithms (subjected to the real-time performance of the algorithm) does not negatively affect the system's real-time performance. By analyzing the simulation results, the book demonstrates that the proposed model provides perfect mission timing and task management, while also guaranteeing secure deployment. Although mainly intended as a research work, the book's review chapters and the new approaches developed here are also suitable for use in courses for advanced undergraduate or graduate students.
650 0 $a Vehicles, Remotely piloted $x Automatic control. $3 3412333
650 0 $a Computational intelligence. $3 595739
650 2 4 $a Optimization. $3 891104
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Operations Research/Decision Theory. $3 890895
650 2 4 $a Control, Robotics, Mechatronics. $3 1002220
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
700 1 $a Powers, David M. W. $3 3412331
700 1 $a Zadeh, Reza Bairam. $3 3412332
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Cognitive science and technology. $3 2059444
856 4 0 $u https://doi.org/10.1007/978-981-13-2245-7
950 $a Intelligent Technologies and Robotics (Springer-42732)