10 Result(s)
within
John Hallam
Engineering
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Chapter and Conference Paper
Simulation Environment for the Evaluation and Design of Reactive Obstacle Avoidance Algorithms in UAS Operating in Low Altitude Airspace
Since UAS operate in a complex and uncertain environment where information is obtained through non-ideal sensors, obstacle avoidance is critical in many missions. However, the performance of avoidance algorith...
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Chapter and Conference Paper
Novel Automatic Filter-Class Feature Selection for Machine Learning Regression
With the increased focus on application of Big Data in all sectors of society, the performance of machine learning becomes essential. Efficient machine learning depends on efficient feature selection algorithm...
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Chapter and Conference Paper
HydroGen: Automatically Generating Self-Assembly Code for Hydron Units
This paper introduces HydroGen, an object compiler system that produces self-assembly instructions for configurations of Hydron units. The Hydron is distinct from other self-reconfigurable robotic units in tha...
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Chapter
Capturing Player Enjoyment in Computer Games
The current state-of-the-art in intelligent game design using Artificial Intelligence (AI) techniques is mainly focused on generating human-like and intelligent characters. Even though complex opponent behavio...
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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
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
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
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...
