N
Nicholas Kenelm Taylor
Researcher at Heriot-Watt University
Publications - 105
Citations - 850
Nicholas Kenelm Taylor is an academic researcher from Heriot-Watt University. The author has contributed to research in topics: Ubiquitous computing & Personalization. The author has an hindex of 16, co-authored 104 publications receiving 809 citations. Previous affiliations of Nicholas Kenelm Taylor include University of Nottingham & University of Edinburgh.
Papers
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Journal ArticleDOI
Comparing Knowledge Elicitation Techniques: A Case Study
Richard Schweickert,A. M. Burton,Nicholas Kenelm Taylor,E. N. Corlett,Nigel Shadbolt,A. P. Hedgecock +5 more
TL;DR: Three knowledge elicitation techniques were used to extract knowledge bases from experts on lighting for industrial inspection tasks, and there was a slightly higher percentage of agreement between the rules extracted separately by the knowledge engineers for the normal interview than for the ‘twenty questions’ technique.
Journal ArticleDOI
Three dimensional analysis of the lamina cribrosa in glaucoma
J. Morgan-Davies,Nicholas Kenelm Taylor,A R Hill,Peter Aspinall,Colm O'Brien,Augusto Azuara-Blanco +5 more
TL;DR: A new parameter quantifying depth variations in the cup floor significantly discriminated between groups of normal and glaucoma patients may contribute to a better understanding of the pathogenesis of theglaucomatous optic nerve damage in different types of glau coma.
Patent
Intelligent Integrated Diagnostics
TL;DR: In this article, a diagnostics system comprising a topological map of a target system that has nodes (38, 40, 42, 44, 46, 48) that correspond to components (29, 30, 32, 34, 36, 36) of the target system is presented.
Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation
Tatiana Lopez-Guevara,Nicholas Kenelm Taylor,Michael U. Gutmann,Subramanian Ramamoorthy,Kartic Subr +4 more
TL;DR: A general methodology that robots may use to develop and improve strategies for overcoming manipulation tasks associated with appropriately defined loss functions is explored and a solution, based on guidance from approximate simulation, that is fast, flexible and adaptable to novel containers as long as their shapes can be sensed is presented.
Journal ArticleDOI
An integrated diagnostic architecture for autonomous underwater vehicles
TL;DR: The architecture of an advanced fault detection and diagnosis (FDD) system is described and applied with an Autonomous Underwater Vehicle to provide a more capable system that does not require dedicated sensors for each fault, can diagnose previously unforeseen failures and failures with cause‐effect patterns across different subsystems.