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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.
Papers
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Book ChapterDOI
Predicting Terrain Traversability from Thermal Diffusivity
TL;DR: This method differentiates between different densities of the samematerial, which visionbased methods alone cannot achieve, and fits the thermal response as effected by a laser to an analytical model that is dependent on thermal diffusivity.
Proceedings ArticleDOI
EventScope: amplifying human knowledge and experience via intelligent robotic systems and information interaction
Peter Coppin,R. Pell,Michael Wagner,J.R. Hayes,Junlei Li,L. Hall,K. Fischer,D. Hirschfiefd,William Whittaker +8 more
TL;DR: Merging public interface with educational and contextual information extends the notion of "interface" to "remote reality library" to help encourage collaborative work within a community of users.
Patent
System, and method for enabling a vehicle to track a path
TL;DR: In this paper, a system for positioning and navigating an autonomous vehicle (310) allows the vehicle to travel between locations using global positioning system satellites (200, 202, 204, and 206) or other sources (624) when the satellites are not in the view of the vehicle.
Journal ArticleDOI
Evolving directions in NASA's planetary rover requirements and technology
TL;DR: The evolution of NASA's planning for planetary rovers and some of the technology that has been developed to achieve the desired capabilities are reviewed.
Proceedings ArticleDOI
Active Range and Bearing-based Radiation Source Localization
TL;DR: An approach to mapping the spatial distribution of radiation with a gamma camera to estimate source locations is presented and an active source localization framework is developed that greedily selects new waypoints that maximize the Fisher Information provided by the camera's range and bearing observations for source localization.