Verwandte Artikel zu Collision Detection for Robot Manipulators: Methods...
Collision Detection for Robot Manipulators: Methods and Algorithms: 155 (Springer Tracts in Advanced Robotics) - Hardcover
Inhaltsangabe
This book provides a concise survey and description of recent collision detection methods for robot manipulators. Beginning with a review of robot kinodynamic models and preliminaries on basic statistical learning methods, the book covers fundamental aspects of the collision detection problem, from collision types and collision detection performance criteria to model-free versus model-based methods, and the more recent data-driven learning-based approaches to collision detection. Special effort has been given to describing and evaluating existing methods with a unified set of notation, systematically categorizing these methods according to a basic set of criteria, and summarizing the advantages and disadvantages of each method. This book is the first to comprehensively organize the growing body of learning-based collision detection methods, ranging from basic supervised learning methods to more advanced approaches based on unsupervised learning and transfer learning techniques. Step-by-step implementation details and pseudocode descriptions are provided for key algorithms. Collision detection performance is measured with respect to both conventional criteria such as detection delay and the number of false alarms, as well as criteria that measure generalization capability for learning-based methods. Whether it be for research or commercial applications, in settings ranging from industrial factories to physical human–robot interaction experiments, this book can help the reader choose and successfully implement the most appropriate detection method that suits their robot system and application.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Von der hinteren Coverseite
This book provides a concise survey and description of recent collision detection methods for robot manipulators. Beginning with a review of robot kinodynamic models and preliminaries on basic statistical learning methods, the book covers fundamental aspects of the collision detection problem, from collision types and collision detection performance criteria to model-free versus model-based methods, and the more recent data-driven learning-based approaches to collision detection. Special effort has been given to describing and evaluating existing methods with a unified set of notation, systematically categorizing these methods according to a basic set of criteria, and summarizing the advantages and disadvantages of each method. This book is the first to comprehensively organize the growing body of learning-based collision detection methods, ranging from basic supervised learning methods to more advanced approaches based on unsupervised learning and transfer learning techniques. Step-by-step implementation details and pseudocode descriptions are provided for key algorithms. Collision detection performance is measured with respect to both conventional criteria such as detection delay and the number of false alarms, as well as criteria that measure generalization capability for learning-based methods. Whether it be for research or commercial applications, in settings ranging from industrial factories to physical human-robot interaction experiments, this book can help the reader choose and successfully implement the most appropriate detection method that suits their robot system and application.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 139,09
EUR 23,00 für den Versand von Deutschland nach USA
Versandziele, Kosten & Dauer
Suchergebnisse für Collision Detection for Robot Manipulators: Methods...
Beispielbild für diese ISBN
Collision Detection for Robot Manipulators: Methods and Algorithms (Springer Tracts in Advanced Robotics, 155)
Anbieter: Books From California, Simi Valley, CA, USA
Verkäuferbewertung 5 von 5 Sternen
hardcover. Zustand: Good. Damage to spine. Cover and edges may have some wear. Good reading copy. Bestandsnummer des Verkäufers mon0003635651
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Collision Detection for Robot Manipulators: Methods and Algorithms (Springer Tracts in Advanced Robotics, 155)
Anbieter: Books From California, Simi Valley, CA, USA
Verkäuferbewertung 5 von 5 Sternen
hardcover. Zustand: Very Good. Cover and edges may have some wear. Bestandsnummer des Verkäufers mon0003635620
Anzahl: 1 verfügbar
Foto des Verkäufers
Collision Detection for Robot Manipulators: Methods and Algorithms
Verlag:
Springer Nature Switzerland Mai 2023, 2023
ISBN 10: 3031301943
ISBN 13: 9783031301940
Neu
Hardcover
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a concise survey and description of recent collision detection methods for robot manipulators. Beginning with a review of robot kinodynamic models and preliminaries on basic statistical learning methods, the book covers fundamental aspects of the collision detection problem, from collision types and collision detection performance criteria to model-free versus model-based methods, and the more recent data-driven learning-based approaches to collision detection. Special effort has been given to describing and evaluating existing methods with a unified set of notation, systematically categorizing these methods according to a basic set of criteria, and summarizing the advantages and disadvantages of each method. This book is the first to comprehensively organize the growing body of learning-based collision detection methods, ranging from basic supervised learning methods to more advanced approaches based on unsupervised learning and transfer learning techniques. Step-by-step implementation details and pseudocode descriptions are provided for key algorithms. Collision detection performance is measured with respect to both conventional criteria such as detection delay and the number of false alarms, as well as criteria that measure generalization capability for learning-based methods. Whether it be for research or commercial applications, in settings ranging from industrial factories to physical human-robot interaction experiments, this book can help the reader choose and successfully implement the most appropriate detection method that suits their robot system and application. 144 pp. Englisch. Bestandsnummer des Verkäufers 9783031301940
Anzahl: 2 verfügbar
Foto des Verkäufers
Collision Detection for Robot Manipulators: Methods and Algorithms
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive survey on existing collision detection methods for robot manipulatorsIncludes both dynamics model-based and learning-based methodsSummarizes the fundamentals of collision detection problem handlingThis book . Bestandsnummer des Verkäufers 829430268
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Collision Detection for Robot Manipulators: Methods and Algorithms (Springer Tracts in Advanced Robotics, 155)
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 26396027632
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Collision Detection for Robot Manipulators: Methods and Algorithms (Springer Tracts in Advanced Robotics, 155)
Print-on-DemandAnbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 401430831
Anzahl: 4 verfügbar
Foto des Verkäufers
Collision Detection for Robot Manipulators: Methods and Algorithms
ISBN 10: 3031301943
ISBN 13: 9783031301940
Neu
Hardcover
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Neuware -This book provides a concise survey and description of recent collision detection methods for robot manipulators. Beginning with a review of robot kinodynamic models and preliminaries on basic statistical learning methods, the book covers fundamental aspects of the collision detection problem, from collision types and collision detection performance criteria to model-free versus model-based methods, and the more recent data-driven learning-based approaches to collision detection. Special effort has been given to describing and evaluating existing methods with a unified set of notation, systematically categorizing these methods according to a basic set of criteria, and summarizing the advantages and disadvantages of each method. This book is the first to comprehensively organize the growing body of learning-based collision detection methods, ranging from basic supervised learning methods to more advanced approaches based on unsupervised learning and transfer learning techniques. Step-by-step implementation details and pseudocode descriptions are provided for key algorithms. Collision detection performance is measured with respect to both conventional criteria such as detection delay and the number of false alarms, as well as criteria that measure generalization capability for learning-based methods. Whether it be for research or commercial applications, in settings ranging from industrial factories to physical human¿robot interaction experiments, this book can help the reader choose and successfully implement the most appropriate detection method that suits their robot system and application.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 144 pp. Englisch. Bestandsnummer des Verkäufers 9783031301940
Anzahl: 2 verfügbar
Foto des Verkäufers
Collision Detection for Robot Manipulators: Methods and Algorithms
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a concise survey and description of recent collision detection methods for robot manipulators. Beginning with a review of robot kinodynamic models and preliminaries on basic statistical learning methods, the book covers fundamental aspects of the collision detection problem, from collision types and collision detection performance criteria to model-free versus model-based methods, and the more recent data-driven learning-based approaches to collision detection. Special effort has been given to describing and evaluating existing methods with a unified set of notation, systematically categorizing these methods according to a basic set of criteria, and summarizing the advantages and disadvantages of each method. This book is the first to comprehensively organize the growing body of learning-based collision detection methods, ranging from basic supervised learning methods to more advanced approaches based on unsupervised learning and transfer learning techniques. Step-by-step implementation details and pseudocode descriptions are provided for key algorithms. Collision detection performance is measured with respect to both conventional criteria such as detection delay and the number of false alarms, as well as criteria that measure generalization capability for learning-based methods. Whether it be for research or commercial applications, in settings ranging from industrial factories to physical human-robot interaction experiments, this book can help the reader choose and successfully implement the most appropriate detection method that suits their robot system and application. Bestandsnummer des Verkäufers 9783031301940
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Collision Detection for Robot Manipulators: Methods and Algorithms (Springer Tracts in Advanced Robotics, 155)
Print-on-DemandAnbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18396027642
Anzahl: 4 verfügbar