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Chapter and Conference Paper
Entertainment Modeling in Physical Play Through Physiology Beyond Heart-Rate
An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children’s physical gameplay is presented in this paper. An exploratory sur...
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Chapter and Conference Paper
Towards Capturing and Enhancing Entertainment in Computer Games
This paper introduces quantitative measurements/metrics of qualitative entertainment features within computer game environments and proposes artificial intelligence (AI) techniques for optimizing entertainment...
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Chapter and Conference Paper
Modelling the Peripheral Auditory System of Lizards
Lizards, such as Mabuya macularia or Gecko gecko, have a relatively simple peripheral auditory system structured as a pressure difference receiver with a strong broadband directional sensitivity. In this paper we...
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Chapter and Conference Paper
An Ontology of Robotics Science
This paper describes ground-breaking work on the creation of an ontology for the domain of robotics as a science. An ontology is a collection of terms, concepts and their inter-relationships, represented in a mac...
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Chapter and Conference Paper
Capturing Entertainment Through Heart Rate Dynamics in the Playware Playground
This paper introduces a statistical approach for capturing enter-tainment in real-time through physiological signals within interactive playgrounds inspired by computer games. For this purpose children’s heart...
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Chapter and Conference Paper
Improved, Simpler Neural Controllers for Lamprey Swimming
Swimming for the lamprey (an eel-like fish) is governed by activity in its spinal neural network, called a central pattern generator (CPG). Simpler, alternative controllers can be evolved which provide improve...
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Chapter
Using Evolutionary Methods to Parameterize Neural Models: A Study of the Lamprey Central Pattern Generator
The neural controller of anguilliform swimming in lampreys is particularly well studied because of its relative robustness and simplicity. In this chapter we look at connectionist models of the controller — in...
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Chapter and Conference Paper
Studying Animals through Artificial Evolution: The Cricket Case
In this paper we introduce the notion of historical evidence — the ability to replicate biologically realistic evolutionary scenarios — for hypothesised mechanisms for control of sensorimotor behaviour. We apply ...
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Chapter and Conference Paper
A Learning Mobile Robot: Theory, Simulation and Practice
We describe the implementation and testing of the kins multi-strategy learning controller for real mobile robot navigation. This controller uses low-level reactive control that is modulated on-line by a learning ...
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Chapter and Conference Paper
A Retina-like Image Representation of Primal Sketch Features Extracted using a Neural Network Approach
This paper presents a log-polar image representation composed of low-level features extracted using a connectionist approach. The low level features (edges, bars, blobs and ends) are based on Marr’s primal sketch...
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Chapter and Conference Paper
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
Building robots can be a tough job because the designer has to predict the interactions between the robot and the environment as well as to deal with them. One solution to cope the difficulties in designing ro...
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Chapter and Conference Paper
Multi-layer perceptron design using Delaunay triangulations
The successful development of an application using the multilayer perceptron (MLP) model greatly depends on the structural complexity of the domains involved. Different mathematical and/or statistical techniqu...
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Chapter and Conference Paper
Fusion through interpretation
We discuss two problems in the context of building environment models from multiple range images. The first problem is how to find the correspondences between surfaces viewed in images and surfaces stored in t...
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Chapter and Conference Paper
Computing with Uncertainty: Intervals versus Probabilities
We compare two well known methods of computing with uncertain quantities as used for geometric reasoning in robotics and computer vision. One method is based on intervals, the other on normal probability distr...
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Chapter
Artificial Intelligence and Signal Understanding
Anyone who has seen a foetal ultrasound scan or a plan-position sonar display will appreciate how difficult it can be to identify parts of a baby or sonar targets against the background of “snow” simultaneousl...
