L
Laurent Petit
Researcher at University of Technology of Compiègne
Publications - 62
Citations - 501
Laurent Petit is an academic researcher from University of Technology of Compiègne. The author has contributed to research in topics: Actuator & Optical fiber. The author has an hindex of 8, co-authored 61 publications receiving 433 citations. Previous affiliations of Laurent Petit include Centre national de la recherche scientifique.
Papers
More filters
RAPID COMMUNICATION Neural Correlates of Topographic Mental Exploration: The Impact of Route versus Survey Perspective Learning
E. Mellet,S. Bricogne,Nathalie Tzourio-Mazoyer,Laurent Petit,Laure Zago,Olivier Etard,A. Berthoz,B. Mazoyer,M. Denis +8 more
TL;DR: The results suggest that the right hippocampus involvement would be sufficient when the representation incorporates essentially survey information while the bilateral parahippocampal gyrus would be involved when the environment incorporates route information and includes "object" landmarks.
Journal ArticleDOI
A Four-Discrete-Position Electromagnetic Actuator: Modeling and Experimentation
TL;DR: In this article, an electromagnetic actuator having four discrete positions is discussed, and the principle, the modeling, and an experimental device of this actuator are presented in this paper.
Journal ArticleDOI
Development of a Control Module for a Digital Electromagnetic Actuators Array
TL;DR: A control module is proposed to independently or simultaneously control the elementary actuators along two displacement axes based on position and displacement matrices to characterize the desired motion of each elementary actuator.
Journal ArticleDOI
Local coefficient of friction, sub-surface stresses and temperature distribution during sliding contact
TL;DR: In this paper, the authors developed a three-dimensional numerical model to study the contact between a rough surface and a rigid plane and determined the stress distribution, which depends on the contact pressure, real area of contact and local coefficient of friction.
Journal ArticleDOI
Filtering in tractography using autoencoders (FINTA).
Jon Haitz Legarreta,Laurent Petit,François Rheault,Guillaume Theaud,Carl Lemaire,Maxime Descoteaux,Pierre-Marc Jodoin +6 more
TL;DR: In this paper, an autoencoder-based learning method was proposed to filter streamlines from diffusion MRI tractography, and hence, to obtain more reliable tractograms, dubbed FINTA (Filtering in tractography using autoencoders).