From Motor Learning to Interaction Learning in Robots, Olivier Sigaud; Jan Peters

Автор: Olivier Sigaud; Jan Peters
Название: From Motor Learning to Interaction Learning in Robots
ISBN: 3642051804 ISBN-13(EAN): 9783642051807
Издательство: Springer
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Цена: 278580.00 T
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Описание: This book is largely based on the successful workshop "From motor to interaction learning in robots" held at the IEEE/RSJ International Conference on Intelligent Robot Systems. It presents recent research in motor learning and interaction learning in robots.

Автор: Andrei Popescu-Belis; Rainer Stiefelhagen
Название: Machine Learning for Multimodal Interaction
ISBN: 3540858520 ISBN-13(EAN): 9783540858522
Издательство: Springer
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Цена: 69870.00 T
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Описание: Constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. This title features papers that cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction.

Автор: Theodor Wyeld; Paul Calder; Haifeng Shen
Название: Computer-Human Interaction. Cognitive Effects of Spatial Interaction, Learning, and Ability
ISBN: 3319169394 ISBN-13(EAN): 9783319169392
Издательство: Springer
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Цена: 44720.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 25th Australian Conference on Computer-Human Interaction, OzCHI 2013, held in Adelaide, SA, Australia, in November 2013. The 11 revised extended papers were carefully reviewed and selected from 192 submissions and cover topics on multi-dimensional interaction;

Автор: Juan Andrade Cetto; Alberto Sanfeliu
Название: Environment Learning for Indoor Mobile Robots
ISBN: 3642069312 ISBN-13(EAN): 9783642069314
Издательство: Springer
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Цена: 113180.00 T
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Описание: This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM.

Автор: Nehaniv
Название: Imitation and Social Learning in Robots, Humans and Animals
ISBN: 0521108632 ISBN-13(EAN): 9780521108638
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: This book studies models and mechanisms of social matching behaviour and marks an important step towards the development of an interdisciplinary research field, consolidating and providing a valuable reference for the increasing number of researchers in the field of imitation and social learning in robots, humans and animals.

Автор: J?rgen Sturm
Название: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
ISBN: 3642371590 ISBN-13(EAN): 9783642371592
Издательство: Springer
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Цена: 139310.00 T
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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.

Автор: Todd Hester
Название: TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains
ISBN: 3319011677 ISBN-13(EAN): 9783319011677
Издательство: Springer
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Цена: 130610.00 T
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Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.

Автор: J?rgen Sturm
Название: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
ISBN: 3642437141 ISBN-13(EAN): 9783642437144
Издательство: Springer
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Цена: 113180.00 T
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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.

Автор: Todd Hester
Название: TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains
ISBN: 3319375105 ISBN-13(EAN): 9783319375106
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.

Автор: Andreas Birk; John Demiris
Название: Learning Robots
ISBN: 3540654801 ISBN-13(EAN): 9783540654803
Издательство: Springer
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Цена: 65210.00 T
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Описание: The interests that motivate the researchers in this eld range from fundamental research issues, such as how to constructively understand intelligence, to purely application o- ented work, such as the exploitation of learning techniques for industrial robotics.

Автор: Jens Kober; Jan Peters
Название: Learning Motor Skills
ISBN: 3319031937 ISBN-13(EAN): 9783319031934
Издательство: Springer
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Цена: 130430.00 T
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Описание: This overview by an award-winning researcher of the ways reinforcement learning can be applied to robotics includes new algorithms and applications. It assesses their success in benchmark tasks such as darts, table tennis, and ball-throwing and bouncing.

Автор: Jens Kober; Jan Peters
Название: Learning Motor Skills
ISBN: 3319377329 ISBN-13(EAN): 9783319377322
Издательство: Springer
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Цена: 95770.00 T
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Описание: This overview by an award-winning researcher of the ways reinforcement learning can be applied to robotics includes new algorithms and applications. It assesses their success in benchmark tasks such as darts, table tennis, and ball-throwing and bouncing.