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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots, J?rgen Sturm


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Автор: J?rgen Sturm
Название:  Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
ISBN: 9783642371592
Издательство: Springer
Классификация:



ISBN-10: 3642371590
Обложка/Формат: Hardcover
Страницы: 204
Вес: 0.51 кг.
Дата издания: 25.05.2013
Серия: Springer Tracts in Advanced Robotics
Язык: English
Издание: 2013 ed.
Иллюстрации: Xxv, 204 p.
Размер: 234 x 155 x 18
Читательская аудитория: Professional & vocational
Основная тема: Robotics and Automation
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents novel learning techniques that enable mobile platforms with one or more robotic manipulators to autonomously adapt to new or changing situations.


Probabilistic robotics

Автор: Thrun, Sebastian
Название: Probabilistic robotics
ISBN: 0262201623 ISBN-13(EAN): 9780262201629
Издательство: MIT Press
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Цена: 14390.00 р.
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Описание:

An introduction to the techniques and algorithms of the newest field in robotics.

Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

Modeling And Analysis Of Dependable Systems: A Probabilistic Graphical Model Perspective

Автор: Portinale Luigi & Codetta Raiteri Daniele
Название: Modeling And Analysis Of Dependable Systems: A Probabilistic Graphical Model Perspective
ISBN: 9814612030 ISBN-13(EAN): 9789814612036
Издательство: World Scientific Publishing
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Цена: 16632.00 р.
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Описание:

The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages.

Methodologies for deriving PGMs from standard dependability formalisms will be introduced, by pointing out tools able to support such a process. Several case studies will be presented and analyzed to support the suitability of the use of PGMs in the study of dependable systems.

Probabilistic Reasoning and Decision Making in Sensory-Motor Systems

Автор: Pierre Bessi?re; Christian Laugier; Roland Siegwar
Название: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
ISBN: 3642097847 ISBN-13(EAN): 9783642097843
Издательство: Springer
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Цена: 26120.00 р.
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Описание: The chapters contain a sizable segment of cognitive systems research in Europe. Contributions come from leading academic institutions within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS).

Probabilistic Reasoning in Intelligent Systems,

Автор: Judea Pearl
Название: Probabilistic Reasoning in Intelligent Systems,
ISBN: 1558604790 ISBN-13(EAN): 9781558604797
Издательство: Elsevier Science
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Цена: 9599.00 р.
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Описание:

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.

The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.


Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Advances in Probabilistic Databases for Uncertain Information Management

Автор: Zongmin Ma; Li Yan
Название: Advances in Probabilistic Databases for Uncertain Information Management
ISBN: 3642375081 ISBN-13(EAN): 9783642375088
Издательство: Springer
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Цена: 18284.00 р.
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Описание:

1 Research in Probabilistic Spatiotemporal Databases:
The SPOT Framework.-

2 A Probabilistic Object-Oriented Database Model with
Fuzzy Measures.-

3 Probabilistic XML: Models and Complexity.-

4 Uncertain Data: Representations, Query Processing,
and Applications.-

5 A Theoretically-Sound Approach for OLAPing Uncertain
and Imprecise Multidimensional Data Streams.-

6 Tractable Probabilistic Description Logic Programs.

Probabilistic prognostics and health management of energy systems.

Название: Probabilistic prognostics and health management of energy systems.
ISBN: 331955851X ISBN-13(EAN): 9783319558516
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty.

Micro-Nanorobotic Manipulation Systems and Their Applications

Автор: Toshio Fukuda; Fumihito Arai; Masahiro Nakajima
Название: Micro-Nanorobotic Manipulation Systems and Their Applications
ISBN: 3642363903 ISBN-13(EAN): 9783642363900
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Micro-Nanorobotic Manipulation Systems and their Applications introduces these advanced technologies from the basics and applications aspects of Micro/Nano-Robotics and Automation from the prospective micro/nano-scale manipulation.

Mechanics of robotic manipulation

Автор: Mason MT
Название: Mechanics of robotic manipulation
ISBN: 0262133962 ISBN-13(EAN): 9780262133968
Издательство: Wiley
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Цена: 2177.00 р.
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Описание: The science and engineering of robotic manipulation.

Visual Perception for Manipulation and Imitation in Humanoid Robots

Автор: Pedram Azad
Название: Visual Perception for Manipulation and Imitation in Humanoid Robots
ISBN: 3642260985 ISBN-13(EAN): 9783642260988
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Dealing with visual perception in robots and its applications to manipulation and imitation, this monograph focuses on stereo-based methods and systems for object recognition and 6 DoF pose estimation as well as for marker-less human motion capture.

Visual Perception for Manipulation and Imitation in Humanoid Robots

Автор: Pedram Azad
Название: Visual Perception for Manipulation and Imitation in Humanoid Robots
ISBN: 3642042287 ISBN-13(EAN): 9783642042287
Издательство: Springer
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Цена: 23508.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Dealing with visual perception in robots and its applications to manipulation and imitation, this monograph focuses on stereo-based methods and systems for object recognition and 6 DoF pose estimation as well as for marker-less human motion capture.


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