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Distributed Coordination Theory for Robot Teams / by Ashton Roza, Manfredi Maggiore, Luca Scardovi

By: Roza, Ashton, autor
Contributor(s): Maggiore, Manfredi., autor | Scardovi, Luca, autor
Material type: materialTypeLabelE-bookSeries: (Lecture Notes in Control and Information Sciences, 1610-7411; 490).Publisher: Cham : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XIII, 149 páginas) : 60 ilustraciones, 24 ilustraciones a color.ISBN: 9783030960872.Subject: Robots -- Sistemas de control | Robots autónomosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
1. Introduction -- 2. Modelling -- 3. Coordination Problems -- 4. Preliminaries -- 5. Rendezvous of Flying Robots with Local and Distributed Feedbacks -- 6. Rendezvous of Kinematic Unicycles with Local and Distributed Feedbacks -- 7. Formations of Kinematic Unicycles -- 8. Formations of Kinematic Unicycles with Parallel and Circular Collective Motions -- 9. General Formation Path Following -- 10. Unicycle Formation Simulation Trials -- 11. Conclusions and Future Research.
In: Springer Nature eBookSummary: Distributed Coordination Theory for Robot Teams develops control algorithms to coordinate the motion of autonomous teams of robots in order to achieve some desired collective goal. It provides novel solutions to foundational coordination problems, including distributed algorithms to make quadrotor helicopters rendezvous and to make ground vehicles move in formation along circles or straight lines. The majority of the algorithms presented in this book can be implemented using on-board cameras. The book begins with an introduction to coordination problems, such as rendezvous of flying robots, and modelling. It then provides a solid theoretical background in basic stability, graph theory and control primitives. The book discusses the algorithmic solutions for numerous distributed control problems, focusing primarily on flying robotics and kinematic unicycles. Finally, the book looks to the future, and suggests areas discussed which could be pursued in further research. This book will provide practitioners, researchers and students in the field of control and robotics new insights in distributed multi-agent systems.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TJ211.35 2022 EB (Browse shelf(Opens below)) Acceso electrónico
Total holds: 0

1. Introduction -- 2. Modelling -- 3. Coordination Problems -- 4. Preliminaries -- 5. Rendezvous of Flying Robots with Local and Distributed Feedbacks -- 6. Rendezvous of Kinematic Unicycles with Local and Distributed Feedbacks -- 7. Formations of Kinematic Unicycles -- 8. Formations of Kinematic Unicycles with Parallel and Circular Collective Motions -- 9. General Formation Path Following -- 10. Unicycle Formation Simulation Trials -- 11. Conclusions and Future Research.

Distributed Coordination Theory for Robot Teams develops control algorithms to coordinate the motion of autonomous teams of robots in order to achieve some desired collective goal. It provides novel solutions to foundational coordination problems, including distributed algorithms to make quadrotor helicopters rendezvous and to make ground vehicles move in formation along circles or straight lines. The majority of the algorithms presented in this book can be implemented using on-board cameras. The book begins with an introduction to coordination problems, such as rendezvous of flying robots, and modelling. It then provides a solid theoretical background in basic stability, graph theory and control primitives. The book discusses the algorithmic solutions for numerous distributed control problems, focusing primarily on flying robotics and kinematic unicycles. Finally, the book looks to the future, and suggests areas discussed which could be pursued in further research. This book will provide practitioners, researchers and students in the field of control and robotics new insights in distributed multi-agent systems.

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