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Stanislao Lauria
Researcher at Brunel University London
Publications - 41
Citations - 1289
Stanislao Lauria is an academic researcher from Brunel University London. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 16, co-authored 36 publications receiving 1142 citations. Previous affiliations of Stanislao Lauria include University of Reading & University of Plymouth.
Papers
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Journal ArticleDOI
Robust Η∞Control for a Class of Discrete Time-Delay Stochastic Systems with Randomly Occurring Nonlinearities
TL;DR: Wang et al. as discussed by the authors presented an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Journal ArticleDOI
Vision-based urban navigation procedures for verbally instructed robots
TL;DR: The nature of these chunks in an urban visual navigation context is investigated, and a method for implementing the corresponding robot primitives such as “take the nth turn right/left” is proposed.
Proceedings ArticleDOI
Converting natural language route instructions into robot executable procedures
TL;DR: This work investigates an architecture used in spoken dialogue systems that is able to extract executable robot procedures from user instructions and describes a Procedure Specification Language (PSL) that allows to extract from the semantic representation of the dialogue both the robot executable procedures and their parameters.
Journal Article
Time complexity analysis of the stochastic diffusion search
TL;DR: It has been shown that the Stochastic Diffusion Search algorithm can be modelled as an ergodic, finite state Markov Chain under some non-restrictive assumptions and sub-linear time complexity for some settings of parameters has been formulated and proved.
Journal ArticleDOI
Mobile robot localization using robust extended H∞ filtering
TL;DR: In this paper, a robust extended H∞ filter is developed to deal with the non-linear kinematic model of the robot and the nonlinear distance measurements, together with process and measurement noises.