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Biomimetic Neural Learning for Intelligent Robots

Intelligent Systems, Cognitive Robotics, and Neuroscience

  • Book
  • © 2005

Overview

Editors:
  1. Stefan Wermter

    1. University of Sunderland, Sunderland, United Kingdom

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  2. Günther Palm

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

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    You can also search for this editor in PubMed   Google Scholar

  3. 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)

  1. Front Matter

    Download chapter PDF

  2. 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

  3. 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

  4. 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
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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

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