Publications
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Minimizing the total completion time for a class of semi-online single machine scheduling problems
Semi-online single machine scheduling problems with information on jobs’ processing times and the objective to minimize the total completion time are considered. In these problems, a set of jobs arriving over time are to be scheduled on a single machine and their characteristics become known only upon arrival. Some of the studied problems are shown […]
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Exploring Emotion Expression Recognition in Older Adults Interacting with a Virtual Coach
The EMPATHIC project aimed to design an emotionally expressive virtual coach capable of engaging healthy seniors to improve well-being and promote independent aging. In particular, the system’s human sensing capabilities allow for the perception of emotional states to provide a personalized experience. This paper outlines the development of the emotion expression recognition module of the […]
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Occupant behavior and impact of the HVAC system on occupant comfort in two-person offices in a mediterranean climate in the south of France
The Mediterranean climate of the south of France is characterized by a long and hot summer season. Under these conditions, it is important to understand the impact of the HVAC system on the comfort of office occupants as well as their adaptive behaviors to create a comfortable indoor thermal environment. The objective of this study […]
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Une approche divisive et interprétable de réduction de dimension pour la prédiction de la RUL
En maintenance, la prédiction de la durée de vie utile restante (RUL) est entravée par la grande dimensionnalité et le manque d’explicabilité. Cette étude propose une approche combinant une méthode innovante de réduction de dimension interprétable, l’IDFC (Interpretable Divisive Feature Clustering), et un modèle LSTM (Long Short-Term Memory) à une couche. L’IDFC s’inspire des algorithmes […]
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Double-Layer Soft Data Fusion for Indoor Robot WiFi-Visual Localization
This paper presents a novel WiFi-Visual data fusion method for indoor robot (TIAGO++) localization. Long-term follow-up experiments show that this method can use 10 WiFi samples and 4 low-resolution images ($58 times 58$ in pixels) to localize an indoor robot with an average error distance of about 1.32 meters 3 months (or 1.7 meters 7 […]
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Chemical servoing with hexapod robot for gas source localization and YOLO‑based visual defect detection
Robotic systems have the ability to perform industrial inspection tasks through the integration of visual and chemical servoing functions. A commonly used system is the image-based servoing system. This study presents an innovative approach that merges chemical servoing with visual defect detection in industrial settings using a hexapod robot. The main goal is to develop […]
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Etude de cas : L’optimisation d’une unité industrielle d’osmose inverse (OI) via l’intégration d’un jumeau numérique (JN) et de la réalité augmentée (RA).
L’osmose inverse (OI) est un procédé essentiel pour la production d’eau ultrapure dans divers secteurs industriels, mais son optimisation se heurte à des défis significatifs : complexité des paramètres physico-chimiques, maintenance prédictive des membranes, exigences de traçabilité et risques d’erreurs humaines [1-5]. L’émergence des technologies de l’Industrie 4.0, notamment le jumeau numérique (JN) [6, 8] […]
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Role tension and perceived leadership influence on middle managers’ transformational leadership
Objectives & Literature Middle managers in the nuclear sector, as in other organizations, are key players in implementing policies and strategy. They are frequently exposed to paradoxical leadership styles and demands (Berti et Simpson, 2021). It gives rise to role tensions (i.e., role conflict, organizational cynicism, or cognitive dissonance) for middle managers (Razouk et Quéméner, […]
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Advanced Multi-Model Prediction of Aircraft Engine Remaining Useful Life with Random Sampling-Based Class Balancing and Voting-Based Features Selection
In Industry 4.0, predictive maintenance for critical systems like aircraft engines relies on accurate Remaining Useful Life (RUL) estimation to prevent unexpected failures and optimize maintenance schedules. However, existing models face several limitations that hinder their effectiveness in real-world applications. Common challenges include data imbalance, which can lead to biased predictions; suboptimal feature selection, which […]
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The Augmented Perception: an emerging approach toward resilient manufacturing systems involving robotic agents and digital twin.
This paper addresses the resilience of Industry 5.0 Manufacturing Systems (MS) with mobile robotic agents, focusing on robustness (handling disruptions while maintaining production) and flexibility (adapting to reconfigurations). We propose Augmented Perception (AP), a Digital Twin-based approach that enhances robot perception by integrating virtual elements in the map of the robot. Three use cases, in […]
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Chemical Servoing with Hexapod Robot for Gas Source Localization and YOLO-based Visual Defect Detection
Robotic systems have the ability to perform industrial inspection tasks through the integration of visual and chemical servoing functions. A commonly used system is the image-based servoing system. This study presents an innovative approach that merges chemical servoing with visual defect detection in industrial settings using a hexapod robot. The main goal is to develop […]
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Plastic optical fiber sensors for mooring lines monitoring in floating wind turbines: A reliability study of OTDR measurement
This study investigates the use of POF (Plastic Optical Fibers) for mooring lines monitoring in floating wind turbines. Focusing on their mechanical adaptability and optical performance in marine environments. Optical attenuation measurement are employed to determine integrity of POFs under mechanical stresses such as tension and torsion, as well as during prolonged water immersion at […]
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