Algorithmic Foundations of Robotics XI, H. Levent Akin; Nancy M. Amato; Volkan Isler; A. F

Автор: Stefan Edelkamp
Название: Algorithmic Intelligence
ISBN: 3319655957 ISBN-13(EAN): 9783319655956
Издательство: Springer
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Описание: In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and explaining approaches that encompass theoretical computer science and machine learning via engineered algorithmic solutions. Part I of the book introduces the basics. The author starts with a hands-on programming primer for solving combinatorial problems, with an emphasis on recursive solutions. The other chapters in the first part of the book explain shortest paths, sorting, deep learning, and Monte Carlo search. A key function of computational tools is processing Big Data efficiently, and the chapters in Part II of the book examine traditional graph problems such as finding cliques, colorings, independent sets, vertex covers, and hitting sets, and the subsequent chapters cover multimedia, network, image, and navigation data. The highly topical research areas detailed in Part III are machine learning, problem solving, action planning, general game playing, multiagent systems, and recommendation and configuration. Finally, in Part IV the author uses application areas such as model checking, computational biology, logistics, additive manufacturing, robot motion planning, and industrial production to explain how the techniques described may be exploited in modern settings. The book is supported with a comprehensive index and references, and it will be of value to researchers, practitioners, and students in the areas of artificial intelligence and computational intelligence.

Автор: Gregory S. Chirikjian; Howie Choset; Marco Morales
Название: Algorithmic Foundations of Robotics VIII
ISBN: 3642262171 ISBN-13(EAN): 9783642262173
Издательство: Springer
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Описание: This book contains selected contributions to WAFR, the highly-competitive meeting on the algorithmic foundations of robotics. They address the unique combination of questions that the design and analysis of robot algorithms inspires.

Автор: David Hsu; Volkan Isler; Jean-Claude Latombe; Ming
Название: Algorithmic Foundations of Robotics IX
ISBN: 3642423825 ISBN-13(EAN): 9783642423826
Издательство: Springer
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Описание: This book contains the proceedings of the 9th WAFR, held on December 13-15, 2010 at the National University of Singapore. The 24 papers included in this book span a wide variety of topics from new theoretical insights to novel applications.

Автор: Srinivas Akella; Nancy M. Amato; Wesley Huang; Bud
Название: Algorithmic Foundation of Robotics VII
ISBN: 3642087981 ISBN-13(EAN): 9783642087981
Издательство: Springer
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Описание: 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 the algorithmic problems of robotic systems.

Автор: Michael Erdmann; David Hsu; Mark Overmars; A. Fran
Название: Algorithmic Foundations of Robotics VI
ISBN: 3642065139 ISBN-13(EAN): 9783642065132
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Because actions in the physical world are subject to physical laws and geometric constraints, the design and analysis of robot algorithms raise a unique combination of questions in control theory, computational and differential geometry, and computer science.

Автор: Emilio Frazzoli; Tomas Lozano-Perez; Nicholas Roy;
Название: Algorithmic Foundations of Robotics X
ISBN: 3642362788 ISBN-13(EAN): 9783642362781
Издательство: Springer
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Цена: 34937.00 р.
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Описание: This is the proceedings of the tenth WAFR, held at Massachusetts Institute of Technology in June 2012. Its 37 papers address a broad range of topics, from fundamental theoretical issues in robot motion planning, control and perception, to novel applications.

Автор: Jaime Nava; Vladik Kreinovich
Название: Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering
ISBN: 3662449544 ISBN-13(EAN): 9783662449547
Издательство: Springer
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Цена: 15672.00 р.
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Описание: A typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes.

Автор: Ricard Gavalda; Gabor Lugosi; Thomas Zeugmann; San
Название: Algorithmic Learning Theory
ISBN: 3642044131 ISBN-13(EAN): 9783642044137
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning.

Автор: Emilio Frazzoli; Tomas Lozano-Perez; Nicholas Roy;
Название: Algorithmic Foundations of Robotics X
ISBN: 3642427316 ISBN-13(EAN): 9783642427312
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This is the proceedings of the tenth WAFR, held at Massachusetts Institute of Technology in June 2012. Its 37 papers address a broad range of topics, from fundamental theoretical issues in robot motion planning, control and perception, to novel applications.

Автор: H. Levent Akin; Nancy M. Amato; Volkan Isler; A. F
Название: Algorithmic Foundations of Robotics XI
ISBN: 3319165941 ISBN-13(EAN): 9783319165943
Издательство: Springer
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Цена: 22203.00 р.
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Описание: This carefully edited volume is the outcome of the eleventh edition of the Workshop on Algorithmic Foundations of Robotics (WAFR), which is the premier venue showcasing cutting edge research in algorithmic robotics.

Автор: Gregory S. Chirikjian; Howie Choset; Marco Morales
Название: Algorithmic Foundations of Robotics VIII
ISBN: 3642003117 ISBN-13(EAN): 9783642003110
Издательство: Springer
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Цена: 36570.00 р.
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Описание: Offers a collection of various topics in advanced robotics, including networked robots, distributed systems, manipulation, planning under uncertainty, minimalism, geometric sensing, geometric computation, stochastic planning methods, and medical applications. This title focuses on validation of algorithms, design concepts, and techniques.

Автор: Jean-Daniel Boissonnat; Joel Burdick; Ken Goldberg
Название: Algorithmic Foundations of Robotics V
ISBN: 3642073417 ISBN-13(EAN): 9783642073410
Издательство: Springer
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Описание: This fifth biannual Workshop on Algorithmic Foundations of Robotics focuses on algorithmic issues related to robotics and automation. The design and analysis of robot algorithms raises fundamental questions in computer science, computational geometry, mechanical modeling, operations research, control theory, and associated fields.