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Algorithmic Foundation of R...
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 geometric and physical constraints, and operate on the world through imprecise actuators. The design and analysis of robot algorithms therefore raises a unique combination of questions in control theory, computational and differential geometry, and computer science. This book contains the proceedings from the 2006 Workshop on the Algorithmic Foundations of Robotics. This biannual workshop is a highly selective meeting of leading researchers in the field of algorithmic issues related to robotics. The 32 papers in this book span a wide variety of topics: from fundamental motion planning algorithms to applications in medicine and biology, but they have in common a foundation in the algorithmic problems of robotic systems
Monografía
monografia Rebiun04417729 https://catalogo.rebiun.org/rebiun/record/Rebiun04417729 cr nn 008mamaa 100301s2008 gw | s |||| 0|eng d 9783540684053 978-3-540-68405-3 10.1007/978-3-540-68405-3 doi UMO 55745 UPCT u358821 UPM 991005576003304212 UPVA 996886838103706 UAM 991007781603704211 UCAR 991007918476704213 Akella, Srinivas Algorithmic Foundation of Robotics VII Recurso electrónico-En línea] :] Selected Contributions of the Seventh International Workshop on the Algorithmic Foundations of Robotics edited by Srinivas Akella, Nancy M. Amato, Wesley H. Huang, Bud Mishra Berlin, Heidelberg Springer Berlin Heidelberg 2008 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg digital Springer Tracts in Advanced Robotics 1610-7438 47 Engineering (Springer-11647) Probabilistic Roadmap Methods (PRMs) -- Planning for Movable and Moving Obstacles -- Navigation, SLAM, and Error Models for Filtering/Control -- Geometric Computations and Applications -- Motion Planning -- Applications in Medicine and Biology -- Control and Planning for Mechanical Systems -- Sensor Networks and Reconfiguration -- Planning for Games, VR, and Humanoid Motion Accesible sólo para usuarios de la UPV Recurso a texto completo 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 geometric and physical constraints, and operate on the world through imprecise actuators. The design and analysis of robot algorithms therefore raises a unique combination of questions in control theory, computational and differential geometry, and computer science. This book contains the proceedings from the 2006 Workshop on the Algorithmic Foundations of Robotics. This biannual workshop is a highly selective meeting of leading researchers in the field of algorithmic issues related to robotics. The 32 papers in this book span a wide variety of topics: from fundamental motion planning algorithms to applications in medicine and biology, but they have in common a foundation in the algorithmic problems of robotic systems Reproducción electrónica Forma de acceso: Web Engineering Artificial intelligence Systems theory Engineering Automation and Robotics Artificial Intelligence (incl. Robotics) Systems Theory, Control Machinery and Machine Elements Control Engineering Operations Research/Decision Theory Amato, Nancy M. Huang, Wesley H. Mishra, Bud SpringerLink (Servicio en línea) Springer eBooks Springer eBooks Printed edition 9783540684046 Springer Tracts in Advanced Robotics 1610-7438 47