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William Whittaker

Researcher at University of Manchester

Publications -  241
Citations -  11992

William Whittaker is an academic researcher from University of Manchester. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 46, co-authored 228 publications receiving 11232 citations. Previous affiliations of William Whittaker include Carnegie Mellon University & Jet Propulsion Laboratory.

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Improving slip prediction on Mars using thermal inertia measurements

TL;DR: A quantitative analysis shows improvement in rover slip prediction when considering thermal inertia based on data from the Curiosity rover, and supports the hypothesis that the consideration of thermal inertia improves mobility estimates for rovers on Mars.
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Socioeconomic disparities in orthodontic treatment outcomes and expenditure on orthodontics in England's state-funded National Health Service: a retrospective observational study.

TL;DR: Substantial inefficiencies were evident in the NHS orthodontic service, with 7.6% of treatments ending in discontinuation and 5.2% ending with residual need on treatment completion, which highlights the need to improve the outcome monitoring systems.

A Multiple Information Source Planner for Autonomous Planetary Exploration

TL;DR: A method-ology to solve exploration tasks which computes the expected information gain, for each information source, from a sensor reading, and proposes a greedy searchalgorithm to collect information while accounting for costs such as driving, sensing and planning.
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Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000-2015: cohort population study using UK electronic health records.

TL;DR: Although the rate of conversion from NDH to T2DM fell between 2010 and 2015, this is likely due to changes over time in the cut-off points for defining NDH, and more people of lower diabetes risk being diagnosed with NDH over time.
Proceedings ArticleDOI

Planning routes of continuous illumination and traversable slope using connected component analysis

TL;DR: A method that applies connected component analysis to plan routes that keep robots continuously illuminated and on traversable slopes while reaching one or more goal locations to extend the lifespan, range, and scientific return of solar-powered robots exploring environments with changing but predictable lighting conditions, particularly those of the Moon and Mercury.