Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience / Edition 1

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This state-of-the-art survey contains selected papers contributed by researchers in intelligent systems, cognitive robotics, and neuroscience including contributions from the MirrorBot project and from the NeuroBotics Workshop 2004. The research work presented demonstrates significant novel developments in biologically inspired neural models for use in intelligent robot environments and biomimetic cognitive behavior.

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Table of Contents

Towards Biomimetic Neural Learning for Intelligent Robots.- Towards Biomimetic Neural Learning for Intelligent Robots.- I: Biomimetic Multimodal Learning in Neuron-Based Robots.- The Intentional Attunement Hypothesis The Mirror Neuron System and Its Role in Interpersonal Relations.- Sequence Detector Networks and Associative Learning of Grammatical Categories.- A Distributed Model of Spatial Visual Attention.- A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots.- Image Invariant Robot Navigation Based on Self Organising Neural Place Codes.- Detecting Sequences and Understanding Language with Neural Associative Memories and Cell Assemblies.- Combining Visual Attention, Object Recognition and Associative Information Processing in a NeuroBotic System.- Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations.- Grounding Neural Robot Language in Action.- A Spiking Neural Network Model of Multi-modal Language Processing of Robot Instructions.- II: Biomimetic Cognitive Behaviour in Robots.- A Virtual Reality Platform for Modeling Cognitive Development.- Learning to Interpret Pointing Gestures: Experiments with Four-Legged Autonomous Robots.- Reinforcement Learning Using a Grid Based Function Approximator.- Spatial Representation and Navigation in a Bio-inspired Robot.- Representations for a Complex World: Combining Distributed and Localist Representations for Learning and Planning.- MaximumOne: An Anthropomorphic Arm with Bio-inspired Control System.- LARP, Biped Robotics Conceived as Human Modelling.- Novelty and Habituation: The Driving Forces in Early Stage Learning for Developmental Robotics.- Modular Learning Schemes for Visual Robot Control.- Neural Robot Detection in RoboCup.- A Scale Invariant Local Image Descriptor for Visual Homing.

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