智能机器人的生物模拟神经学习/Biomimetic neural learning for intelligent robots
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作者： Stefan Wermter， Günther Palm，Mark Elshaw 著
出 版 社： 北京燕山出版社
出版时间： 2005-12-1字数：版次： 1页数： 381印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540274407包装： 平装内容简介
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.
目录
Towards Biomimetic Neural Learning for Intelligent Robots
PartⅠ: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 Distrbuted Model of Spatial Visual Attention
A Hybrid Architecture Using Cross-Corrlation and Recurrent Neural Networks for Acoustic Tracking in Robots
Image Invariant Robot Navigation Based on Self Organising Neural Place Codes
Detecting Sequenecs 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
PartⅡ:Biomimetic Cognitive Behaviour in Rbobts
A Virtual Reality Platform for Modeling Cognitive Development
Learning to Interpret Pointing Gestures:Experiments with Four-Leggde Autonomous Robots
Reinforcement Learning Using a Grid Baesd Funcion Aproximator
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 Force 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
Author Index
