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Navigation of Autonomous Marine Robo...
~
Glotzbach, Thomas.
Navigation of Autonomous Marine Robots = Novel Approaches Using Cooperating Teams /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Navigation of Autonomous Marine Robots/ by Thomas Glotzbach.
Reminder of title:
Novel Approaches Using Cooperating Teams /
Author:
Glotzbach, Thomas.
Description:
XXX, 366 p. 170 illus., 22 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Control engineering. -
Online resource:
https://doi.org/10.1007/978-3-658-30109-5
ISBN:
9783658301095
Navigation of Autonomous Marine Robots = Novel Approaches Using Cooperating Teams /
Glotzbach, Thomas.
Navigation of Autonomous Marine Robots
Novel Approaches Using Cooperating Teams /[electronic resource] :by Thomas Glotzbach. - 1st ed. 2020. - XXX, 366 p. 170 illus., 22 illus. in color.online resource.
Navigation in Marine Robotics: Methods, Classification, and State of the Art -- Problem Formulation and Definitions -- Mathematical Tools from Control and Systems Engineering -- Methods for Cooperative Navigation -- Optimal Sensor Placement in Marine Robotics -- Combination of Cooperative Navigation and Optimal Sensor Placement.
Thomas Glotzbach spotlights that navigation within marine robotics can benefit from cooperative teams in a way that justifies the increased effort to operate several vehicles at once. He features discussions of different scenarios, modeling of systems, and estimation algorithms for comparable situations. The chapter on the used methodologies may allow a reader with only basic knowledge in control theory to obtain deeper insight in advanced concepts such as observability and state estimation, even without any background in marine robotics. Contents Navigation in Marine Robotics: Methods, Classification, and State of the Art Problem Formulation and Definitions Mathematical Tools from Control and Systems Engineering Methods for Cooperative Navigation Optimal Sensor Placement in Marine Robotics Combination of Cooperative Navigation and Optimal Sensor Placement Target Groups Researchers and students in the fields of automation, control systems, electrical and computational engineering Practitioners in marine robotics, mobile systems The Author Dr. Thomas Glotzbach obtained experience in maritime robotics as researcher at Technische Universität Ilmenau, Germany (doctoral and habilitation degree) and at Instituto Superior Técnico, Lisbon, Portugal. Since September 2019, he has been Professor of Control Engineering and Robotics at Technische Hochschule Mittelhessen – University of Applied Sciences, Germany.
ISBN: 9783658301095
Standard No.: 10.1007/978-3-658-30109-5doiSubjects--Topical Terms:
1249728
Control engineering.
LC Class. No.: TJ210.2-211.495
Dewey Class. No.: 629.8
Navigation of Autonomous Marine Robots = Novel Approaches Using Cooperating Teams /
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Navigation in Marine Robotics: Methods, Classification, and State of the Art -- Problem Formulation and Definitions -- Mathematical Tools from Control and Systems Engineering -- Methods for Cooperative Navigation -- Optimal Sensor Placement in Marine Robotics -- Combination of Cooperative Navigation and Optimal Sensor Placement.
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Thomas Glotzbach spotlights that navigation within marine robotics can benefit from cooperative teams in a way that justifies the increased effort to operate several vehicles at once. He features discussions of different scenarios, modeling of systems, and estimation algorithms for comparable situations. The chapter on the used methodologies may allow a reader with only basic knowledge in control theory to obtain deeper insight in advanced concepts such as observability and state estimation, even without any background in marine robotics. Contents Navigation in Marine Robotics: Methods, Classification, and State of the Art Problem Formulation and Definitions Mathematical Tools from Control and Systems Engineering Methods for Cooperative Navigation Optimal Sensor Placement in Marine Robotics Combination of Cooperative Navigation and Optimal Sensor Placement Target Groups Researchers and students in the fields of automation, control systems, electrical and computational engineering Practitioners in marine robotics, mobile systems The Author Dr. Thomas Glotzbach obtained experience in maritime robotics as researcher at Technische Universität Ilmenau, Germany (doctoral and habilitation degree) and at Instituto Superior Técnico, Lisbon, Portugal. Since September 2019, he has been Professor of Control Engineering and Robotics at Technische Hochschule Mittelhessen – University of Applied Sciences, Germany.
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