Name: Biomimetic Neural Learning for Intelligent Robots
ISBN: 978-3-540-31896-5

Editors:

Stefan Wermter⁰,
Günther Palm¹,
Mark Elshaw²

Stefan Wermter
1. University of Sunderland, Sunderland, United Kingdom
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Günther Palm
1. Institute of Neural Information Processing, University of Ulm, Ulm, Germany
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Mark Elshaw
1. Hybrid Intelligent Systems, SCAT, University of Sunderland, UK
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3575)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (22 chapters)

Front Matter

PDF
Towards Biomimetic Neural Learning for Intelligent Robots
1. Towards Biomimetic Neural Learning for Intelligent Robots
  
  Stefan Wermter, Günther Palm, Cornelius Weber, Mark Elshaw
  
  Pages 1-18
Part I: Biomimetic Multimodal Learning in Neuron-Based Robots
1. The Intentional Attunement Hypothesis The Mirror Neuron System and Its Role in Interpersonal Relations
  
  Vittorio Gallese
  
  Pages 19-30
2. Sequence Detector Networks and Associative Learning of Grammatical Categories
  
  Andreas Knoblauch, Friedemann Pulvermüller
  
  Pages 31-53
3. A Distributed Model of Spatial Visual Attention
  
  Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre
  
  Pages 54-72
4. A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots
  
  John C. Murray, Harry Erwin, Stefan Wermter
  
  Pages 73-87
5. Image Invariant Robot Navigation Based on Self Organising Neural Place Codes
  
  Kaustubh Chokshi, Stefan Wermter, Christo Panchev, Kevin Burn
  
  Pages 88-106
6. Detecting Sequences and Understanding Language with Neural Associative Memories and Cell Assemblies
  
  Heiner Markert, Andreas Knoblauch, Günther Palm
  
  Pages 107-117
7. Combining Visual Attention, Object Recognition and Associative Information Processing in a NeuroBotic System
  
  Rebecca Fay, Ulrich Kaufmann, Andreas Knoblauch, Heiner Markert, Günther Palm
  
  Pages 118-143
8. Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations
  
  Olivier Ménard, Frédéric Alexandre, Hervé Frezza-Buet
  
  Pages 144-161
9. Grounding Neural Robot Language in Action
  
  Stefan Wermter, Cornelius Weber, Mark Elshaw, Vittorio Gallese, Friedemann Pulvermüller
  
  Pages 162-181
10. A Spiking Neural Network Model of Multi-modal Language Processing of Robot Instructions
  
  Christo Panchev
  
  Pages 182-210
Part II: Biomimetic Cognitive Behaviour in Robots
1. A Virtual Reality Platform for Modeling Cognitive Development
  
  Hector Jasso, Jochen Triesch
  
  Pages 211-224
2. Learning to Interpret Pointing Gestures: Experiments with Four-Legged Autonomous Robots
  
  Verena V. Hafner, Frédéric Kaplan
  
  Pages 225-234
3. Reinforcement Learning Using a Grid Based Function Approximator
  
  Alexander Sung, Artur Merke, Martin Riedmiller
  
  Pages 235-244
4. Spatial Representation and Navigation in a Bio-inspired Robot
  
  Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strösslin, Wulfram Gerstner
  
  Pages 245-264
5. Representations for a Complex World: Combining Distributed and Localist Representations for Learning and Planning
  
  Joscha Bach
  
  Pages 265-280
6. MaximumOne: An Anthropomorphic Arm with Bio-inspired Control System
  
  Michele Folgheraiter, Giuseppina Gini
  
  Pages 281-298
7. LARP, Biped Robotics Conceived as Human Modelling
  
  Umberto Scarfogliero, Michele Folgheraiter, Giuseppina Gini
  
  Pages 299-314
8. Novelty and Habituation: The Driving Forces in Early Stage Learning for Developmental Robotics
  
  Q. Meng, M. H. Lee
  
  Pages 315-332

Keywords

Editors and Affiliations

University of Sunderland, Sunderland, United Kingdom

Stefan Wermter
Institute of Neural Information Processing, University of Ulm, Ulm, Germany

Günther Palm
Hybrid Intelligent Systems, SCAT, University of Sunderland, UK

Mark Elshaw

Bibliographic Information

Book Title: Biomimetic Neural Learning for Intelligent Robots
Book Subtitle: Intelligent Systems, Cognitive Robotics, and Neuroscience
Editors: Stefan Wermter, Günther Palm, Mark Elshaw
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b139051
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-540-27440-7Published: 06 July 2005
eBook ISBN: 978-3-540-31896-5Published: 25 August 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 383
Topics: Robotics and Automation, Cognitive Psychology, Neurosciences, Artificial Intelligence, Computer Science, general, Special Purpose and Application-Based Systems

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Table of contents (22 chapters)

Front Matter

Towards Biomimetic Neural Learning for Intelligent Robots

Part I: Biomimetic Multimodal Learning in Neuron-Based Robots

Part II: Biomimetic Cognitive Behaviour in Robots

Keywords

Editors and Affiliations

University of Sunderland, Sunderland, United Kingdom

Institute of Neural Information Processing, University of Ulm, Ulm, Germany

Hybrid Intelligent Systems, SCAT, University of Sunderland, UK

Bibliographic Information

Publish with us

Buy it now

Buying options

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