2006, ISBN: 9783540684053
Algorithms are a fundamental component of robotic systems: they control or reason about motion and perception in the physical world. They receive input from noisy sensors, consider geomet… Mehr…
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Algorithmic Foundation of Robotics VII : Selected Contributions of the Seventh International Workshop on the Algorithmic Foundations of Robotics - neues Buch
2006, ISBN: 9783540684053
This book is comprised of thirty-two papers presented at the prestigious 2006 Workshop on the Algorithmic Foundations of Robotics. The papers span a wide variety of topics all related to … Mehr…
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2006, ISBN: 9783540684053
This book is comprised of thirty-two papers presented at the prestigious 2006 Workshop on the Algorithmic Foundations of Robotics. The papers span a wide variety of topics all related to … Mehr…
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2008, ISBN: 9783540684053
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2006, ISBN: 9783540684053
Algorithms are a fundamental component of robotic systems: they control or reason about motion and perception in the physical world. They receive input from noisy sensors, consider geomet… Mehr…
Srinivas Akella; Nancy M. Amato; Wesley Huang; Bud Mishra:
Algorithmic Foundation of Robotics VII - neues BuchISBN: 9783540684053
Engineering; Robotics and Automation; Control, Robotics, Mechatronics; Artificial Intelligence (incl. Robotics); Systems Theory, Control; Machinery and Machine Elements; Operation Researc… Mehr…
Algorithmic Foundation of Robotics VII : Selected Contributions of the Seventh International Workshop on the Algorithmic Foundations of Robotics - neues Buch
2006
ISBN: 9783540684053
This book is comprised of thirty-two papers presented at the prestigious 2006 Workshop on the Algorithmic Foundations of Robotics. The papers span a wide variety of topics all related to … Mehr…
2006, ISBN: 9783540684053
This book is comprised of thirty-two papers presented at the prestigious 2006 Workshop on the Algorithmic Foundations of Robotics. The papers span a wide variety of topics all related to … Mehr…
2008, ISBN: 9783540684053
Selected Contributions of the Seventh International Workshop on the Algorithmic Foundations of Robotics, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin He… Mehr…
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Detailangaben zum Buch - Algorithmic Foundation of Robotics VII
EAN (ISBN-13): 9783540684053
Erscheinungsjahr: 2006
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2017-04-19T00:38:23+02:00 (Vienna)
Detailseite zuletzt geändert am 2021-08-28T15:58:16+02:00 (Vienna)
ISBN/EAN: 9783540684053
ISBN - alternative Schreibweisen:
978-3-540-68405-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Titel des Buches: foundation
Daten vom Verlag:
Autor/in: Srinivas Akella; Nancy M. Amato; Wesley Huang; Bud Mishra
Titel: Springer Tracts in Advanced Robotics; Algorithmic Foundation of Robotics VII - Selected Contributions of the Seventh International Workshop on the Algorithmic Foundations of Robotics
Verlag: Springer; Springer Berlin
526 Seiten
Erscheinungsjahr: 2008-08-27
Berlin; Heidelberg; DE
Sprache: Englisch
213,99 € (DE)
220,00 € (AT)
236,00 CHF (CH)
Available
XIV, 526 p.
EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Regelungstechnik; Verstehen; Analysis; Quantitative Analysis; actuator; algorithms; control; distance; mobile robot; motion planning; navigation; robot; robotics; sensor; uncertainty; verification; virtual reality; C; Control, Robotics, Automation; Artificial Intelligence; Systems Theory, Control; Machinery and Machine Elements; Operations Research and Decision Theory; Engineering; Künstliche Intelligenz; Kybernetik und Systemtheorie; Maschinenbau; Unternehmensforschung; Management: Entscheidungstheorie; BC
Probabilistic Roadmap Methods (PRMs).- Quantitative Analysis of Nearest-Neighbors Search in High-Dimensional Sampling-Based Motion Planning.- Path Deformation Roadmaps.- Workspace-Based Connectivity Oracle: An Adaptive Sampling Strategy for PRM Planning.- Incremental Map Generation (IMG).- Planning for Movable and Moving Obstacles.- Caging Polygons with Two and Three Fingers.- An Effective Framework for Path Planning Amidst Movable Obstacles.- Planning the Shortest Safe Path Amidst Unpredictably Moving Obstacles.- Planning Among Movable Obstacles with Artificial Constraints.- Navigation, SLAM, and Error Models for Filtering/Control.- Inferring and Enforcing Relative Constraints in SLAM.- Second-Order Theory of Error Propagation on Motion Groups.- Extensive Representations and Algorithms for Nonlinear Filtering and Estimation.- Geometric Computations and Applications.- An Experimental Study of Weighted k-Link Shortest Path Algorithms.- Low-Discrepancy Curves and Efficient Coverage of Space.- The Snowblower Problem.- Stratified Deformation Space and Path Planning for a Planar Closed Chain with Revolute Joints.- Motion Planning.- Competitive Disconnection Detection in On-Line Mobile Robot Navigation.- A Simple Path Non-existence Algorithm Using C-Obstacle Query.- RESAMPL: A Region-Sensitive Adaptive Motion Planner.- Motion Planning for a Six-Legged Lunar Robot.- Applications in Medicine and Biology.- Constant-Curvature Motion Planning Under Uncertainty with Applications in Image-Guided Medical Needle Steering.- Extended Abstract: Structure Determination of Symmetric Protein Complexes by a Complete Search of Symmetry Configuration Space Using NMR Distance Restraints.- Control and Planning for Mechanical Systems.- The Minimum-Time Trajectories for an Omni-DirectionalVehicle.- Mechanical Manipulation Using Reduced Models of Uncertainty.- Motion Planning for Variable Inertia Mechanical Systems.- Sampling-Based Falsification and Verification of Controllers for Continuous Dynamic Systems.- Sensor Networks and Reconfiguration.- Surrounding Nodes in Coordinate-Free Networks.- Passive Mobile Robot Localization within a Fixed Beacon Field.- Efficient Motion Planning Strategies for Large-Scale Sensor Networks.- Asymptotically Optimal Kinodynamic Motion Planning for Self-reconfigurable Robots.- Planning for Games, VR, and Humanoid Motion.- Visibility-Based Pursuit-Evasion with Bounded Speed.- Planning Near-Optimal Corridors Amidst Obstacles.- Using Motion Primitives in Probabilistic Sample-Based Planning for Humanoid Robots.Consists of selected contributions to the highly competitive meeting on the Algorithmic Foundations of Robotics WAFR
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