Publications
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Optimizing Supplier Selection Under Risk: A Multi-Method Approach
This paper presents an innovative approach to optimize supplier selection while minimizing transportation costs in supply chain management. The methodology integrates Mixed Integer Linear Programming (MILP), Genetic Algorithm (GA), and a stochastic programming approach (MILP combined with Monte Carlo simulation, called MCLP) to address the complexities of supplier selection. The MILP model is designed to […]
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Machine learning for modular robots self-reconfiguration problem
Self-reconfiguration of modular robots is one of the most challenging problems in the robotics field. The objective is to determine how a set of identical modular robots, with local knowledge of the system and limited capacities, can reorganize themselves into a target topology or shape. The problem has received great interest from the research community […]
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Artificial Intelligence Non-invasive Methods for Neonatal Jaundice Detection: A Review
Neonatal jaundice is a common and potentially fatal health condition in neonates, especially in low and middle income countries, where it contributes considerably to neonatal morbidity and death. Traditional diagnostic approaches, such as Total Serum Bilirubin (TSB) testing, are invasive and could lead to discomfort, infection risk, and diagnostic delays. As a result, there is […]
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A Continual Learning Approach for Failure Prediction under Non-Stationary Conditions: Application to Condition Monitoring Data Streams
Accurate estimation of the remaining useful life (RUL) of critical assets plays a pivotal role in predictive maintenance strategies. Traditional RUL estimation approaches often face challenges in handling evolving operating conditions and data drift, which can result in degraded performance and reduced robustness. In this study, we propose a novel paradigm for RUL estimation, leveraging […]
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The hidden face of the Proteus effect: Deindividuation, embodiment and identification
The Proteus effect describes how users of virtual environments adjust their attitudes to match stereotypes associated with their avatar’s appearance. While numerous studies have demonstrated this phenomenon’s reliability, its underlying processes remain poorly understood. This work investigates deindividuation’s hypothesized but unproven role within the Proteus effect. Deindividuated individuals tend to follow situational norms rather than […]
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IdeAM: A serious game to foster creativity in Additive Manufacturing
This study investigates the potential of serious games (SG) to enhance creativity in additive manufacturing (AM). While AM offers unique opportunities to explore complex designs, traditional manufacturing methods often limit designers’ creativity due to cognitive biases formed by years of using conventional processes. This research aims to introduce IdeAM, a SG designed to foster creativity […]
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Exploring Behavioral Dynamics to Enhance Collective Intelligence in Virtual Environments
Collective intelligence (CI) is a predictive measure of a group’sability to perform a wide variety of tasks. It is an essential conceptfor understanding team dynamics and enhancing team performance.While extensively studied in traditional environments such as faceto-face settings or online interactions, CI remains underexplored inimmersive Virtual Reality (VR). This thesis has three goals: (1) toanalyze […]
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Authoring framework for industrial XR digital twin and autonomous agent : a proof of concept
Extended Reality-Interfaced Digital Twins (XR-DTs) can be used in a wide range of industrial applications, including visualization, monitoring, training, simulation and industrial systems design. However, interacting with and controlling autonomous agents, whether virtual or real, through XR-DTs can be challenging. NEURONES aims to address this issue by providing immersive ways to create complex scenarios with […]
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Warming the Ice: The Role of Social Touch and Physical Warmth on First Impressions in Virtual Reality
First impressions are critical in shaping social interactions, with perceptions of interpersonal warmth playing a central role in foster- ing positive judgments. Social touch, such as handshake, conveys both interpersonal and physical warmth, potentially influencing im- pressions and social proximity. Using VR and haptic technologies, we explore how handshake temperature (warm or cold) affects first […]
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Visual Assistance in VR-based Robot Control: Towards a Reproducible Evaluation Scenario
Immersive technologies enhance industrial applications by creating virtual representations of manufacturing environments and providing visual assistance for tasks. Most studies in the literature are based on ad hoc scenarios, making comparison across studies challenging. In this research, 99 participants controlled a remote industrial robot using a VR headset in a reproducible maintenance task. They performed […]
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Floating Offshore Wind Turbine Optimized Control for Power Regulation With Experimental Validation
This article proposes a new strategy for blade pitch control to regulate power production while alleviating the negative effects of the structural motions of floating offshore wind turbines (FOWTs). FOWTs frequently experience significant fluctuations in rotor speed when wind speed is above its rated value in the presence of significant wave heights. This condition reduces […]
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A hybrid approach using ant colony optimisation for integrated scheduling of production and transportation tasks within flexible manufacturing systems
This paper studies the integrated scheduling problem in flexible manufacturing systems (FMS), where flexible machines and Automated Guided Vehicles (AGV) shared by production jobs are scheduled simultaneously in an integrated manner. Routing flexibility, a crucial advantage of FMS, enabling a job to be handled via alternative machine combinations, is involved. To address this problem, we […]