Publicaciones

• Article dans une revue

Determining Relevant 3D Roughness Parameters for Sandblasted Surfaces: A Methodological Approach

Maxence Bigerelle, Eddy Chevallier, Julie Lemesle, Raphael Deltombe, Frederic Robache, Romain Vayron, Nadiia Zubchuk, Ingrid Proriol Serre, Stephane Benayoun, Karine Anselme

This study presents a robust methodology for analyzing 3D roughness parameters to characterize sandblasted surfaces, identifying the most relevant descriptors for process optimization. Sandblasting with irregularly shaped corundum particles is performed using five grit sizes (25, 50, 90, 125, and...

Machines, 2025, Machines, 13 (12), pp.1122. ⟨10.3390/machines13121122⟩. ⟨hal-05406231⟩

• Pré-publication, Document de travail

Covariance Control for a class of Stochastic Discrete-time Linear Systems using the S-Variable Approach

Kaouther Moussa, Dimitri Peaucelle

This paper deals with the problem of covariance control for a class of linear stochastic discrete-time systems in the Stochastic Model Predictive Control (SMPC) framework. The considered systems are affected by independent and identically distributed (i.i.d.) additive and parametric stochastic...

2025. ⟨hal-05395012⟩

• Article dans une revue

Biomechanical finite element simulation of the pelvic organs under dynamic loading and validation against experimental data from magnetic resonance imaging

Camille Lafond, Louise Hohnadel, Thomas Brunel, Nicolas Pirrò, Marc-Emmanuel Bellemare, Dominique Chamoret, Sébastien Roth

Medical Engineering & Physics, 2025, 146, pp.104433. ⟨10.1016/j.medengphy.2025.104433⟩. ⟨hal-05362410⟩

• Article dans une revue

Machine learning and deep learning applications in the automotive manufacturing industry: A systematic literature review and industry insights

Soufiane Douimia, Abdelghani Bekrar, Abdessamad Ait El Cadi, Yassin El Hillali, David Fillon

In the context of the automotive manufacturing industry, complexity and the extensive data generated during production pose significant challenges. With ongoing technological advancements, effectively harnessing and analyzing this data has become increasingly critical. Machine learning (ML) and...

Robotics and Computer-Integrated Manufacturing, 2025, 96, pp.103034. ⟨10.1016/j.rcim.2025.103034⟩. ⟨hal-05101225⟩

• Article dans une revue

Optimal Model-Free Tracking Control Based on Direct Adaptive Fuzzy Controller for a Mini-Drone

Hossam Eddine Glida, Abdelghani Chelihi, Chouki Sentouh, Jagat Jyoti Rath

This paper presents a direct robust adaptive fuzzy controller designed for a mini drone. The controller is developed to address the challenge of controlling the six-coupled nonlinear subsystems of the mini-drone with unknown dynamics for position and attitude control. The proposed control approach...

IEEE Transactions on Aerospace and Electronic Systems, In press, pp.1-11. ⟨10.1109/TAES.2025.3636505⟩. ⟨hal-05389696⟩

• Communication dans un congrès

Designing an Artificial Intelligence Driving Assistance System (AIDAS) for train drivers

Jean-Valentin Merlevede, Simon Enjalbert, Frédéric Vanderhaegen, Francesco Flammini

This paper propose system in order to promote a new task sharing approach for railway driving. The system depends on three monitoring modules for evaluating the driver's condition, driving performance, and the driver's instantaneous and anticipated workload, and two output modules to...

16th IFAC Symposium on Analysis, Design and Evaluation of Human – Machine Systems (IFAC HMS 2025), Nov 2025, Pékin, China. ⟨hal-05338863⟩

• Article dans une revue

Modelling of the influence of measurement uncertainties on the algorithmic complexity of 3D topography stitching

Maxence Bigerelle, Robin Guibert

Observation of physical phenomena and their expression on solids is a challenge, especially considering their coupling. As a privileged place of interaction between solids and the external environment, surface should be studied. Roughness analysis often relies on optical profilometers to provide...

Surface Topography: Metrology and Properties, 2025, 13 (4), pp.045008. ⟨10.1088/2051-672X/ae198e⟩. ⟨hal-05367414⟩

• Article dans une revue

A robust nonsingular Fixed-Time Controller: Application to Robot Manipulators

Marco Arteaga, Emmanuel Moulay, Michael Defoort

Sliding Mode Control (SMC) techniques allow accurate position tracking, where fixed-time stability has become an area of great interest. A kind of systems which has represented a control challenge for the last decades are robot manipulators due to their highly nonlinear dynamics and the presence of...

Journal of The Franklin Institute, 2025, 362 (18), pp.108216. ⟨10.1016/j.jfranklin.2025.108216⟩. ⟨hal-05380137⟩

• Communication dans un congrès

Problèmes de satisfaction de contraintes : mieux les appréhender par l'interaction tangible, une revue systématique de la littérature, Constraint Satisfaction Problems : better apprehending them through Tangible Interaction, a Systematic Literature Review

Elie Roussarie, Sophie Lepreux, Nadine Couture, Christophe Kolski

Les problèmes de satisfaction de contraintes (CSP), qu'il s'agisse de la planification d'emplois du temps, de la gestion de livraisons ou de l'allocation de ressources, sont omniprésents dans notre quotidien. Ces problèmes impliquent souvent un grand nombre de variables et de..., Constraint satisfaction problems (CSPs), whether they involve scheduling, deliveries routing or allocating resources, are ubiquitous in our daily lives. These problems often involve a large number of variables and constraints, making them complex to perceive. At present, they are mainly designed...

IHM'25 - 36e Conférence Internationale Francophone sur l'Interaction Humain-Machine, AFIHM; Université de Toulouse; ENAC, Nov 2025, Toulouse, France. ⟨hal-05294696⟩

• Communication dans un congrès

Towards an Interactive Longitudinal Visualization of Daily Living Activities for Aging in Place, Vers une visualisation interactive et longitudinale des activités de la vie quotidienne pour le maintien à domicile

Juliette Deyts, Rafik Belloum, Lucile Dupuy, Loïc Blouin, Hélène Sauzéon

Monitoring daily activities in the home using unobtrusive sensors can provide valuable insights to support aging in place. However, raw logs of detected activities over months remain dense and difficult to interpret. We present an interactive visualization prototype that transforms these dense,..., La surveillance des activités de la vie quotidienne à domicile à l'aide de capteurs non intrusifs peut fournir des informations précieuses pour soutenir le maintien à domicile des personnes âgées. Cependant, les journaux bruts d'activités détectées sur plusieurs mois restent denses et...

IHM 2025 - 36e Conférence Internationale Francophone sur l’Interaction Humain-Machine, Nov 2025, Toulouse, France. ⟨hal-05277993v2⟩