Publications
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Evaluating Robustness of 3D Gaussian Splatting–Based 6D Camera Pose Refinement Under Degraded Conditions for Lightly Textured Industrial Synthetic Objects
In this paper, 6D camera pose refinement is explored using 3D Gaussian Splatting (3DGS) on lightly textured industrial object datasets. The study employs datasets generated with Unity 3D rendering software, featuring objects such as a bicycle, MiR robot, Tiago robot, and UR robotic arm, each captured with ground-truth intrinsic and extrinsic camera parameters. A 3DGS […]
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Leveraging digital twin and dynamic scheduling for enhanced human-robot collaboration
Industry 5.0 represents a paradigm shift toward human-centric, resilient, and sustainable production systems. At the core of this transformation lies digital twins, which enable predictive and prescriptive analytics in real time, improving decision-making capabilities such as visibility, transparency, and collaboration. By integrating advanced AI algorithms for data interpretation and facilitating seamless human-machine interactions, digital twins […]
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L’innovation juridique à la croisée du droit et de l’innovation : réflexions sur un champ émergent
L’innovation et le droit sont deux domaines étroitement liés, s’influençant mutuellement dès lors qu’il s’agit de réguler, protéger et encourager la création de nouvelles idées, normes juridiques, produits, services ou technologies. S’inscrivant dans le prolongement de l’approche Law & Management, l’innovation juridique constitue un champ de recherche émergent qui tente d’appréhender les influences réciproques entre […]
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Chloé Leduque (2024), Le droit des contrats à l’épreuve de l’économie de partage, Paris, Larcier, 804 p.
Recension d’ouvrage de Chloé Leduque (2024), Le droit des contrats à l’épreuve de l’économie de partage, Paris, Larcier, 804 p.
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Multi-Agent System for Solving the Vehicle Routing Problem: A Hybrid Metaheuristic Approach
This paper introduces a novel Multi-Agent System (MAS) designed to solve the Vehicle Routing Problem (VRP), a well-known optimization challenge in logistics. The proposed MAS integrates seven established metaheuristics—Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Golden Ball Algorithm (GBA), Hill Climbing (HC), Tabu Search (TS), and Simulated Annealing (SA)—using a Bi-directional […]
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Des Jumeaux Numériques d’Enseignement : entre instrument et finalité de l’acte éducatif
Dans la continuité des Jumeaux Numériques (JN) industriels, la formation est devenue un champ d’application visé par le développement de Jumeaux Numériques d’Enseignement (JNE). À partir d’une étude sur l’introduction d’un JNE dans une formation d’ingénieurs, cet article se propose de comprendre dans quelle mesure le JNE peut être instrumenté comme objet pédagogique dans une […]
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Effects of Thermal Activation on Mechanical Performance and Sustainability of Slag-Based Geopolymers
Ground granulated blast furnace slag (GBFS)-based geopolymers represent a viable binder system that combines mechanical efficiency with a significantly lower carbon footprint when compared to conventional Portland cement. This work examines how thermal curing between 20 ◦C and 80 ◦C affects setting time, mechanical performance, shrinkage, and porosity of GBFS-based geopolymers. Curing at 40 ◦C […]
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Dynamic mechanical analysis of shape memory polymers: thermomechanical behavior and influence of thermal stimuli
This study explores the thermomechanical properties of polymethacrylate-based shape memory polymers (SMPs), focusing on hot water as a thermal stimulus for shape recovery. Using differential scanning calorimetry (DSC) and dynamic mechanical analysis (DMA), the research evaluates thermal transitions, viscoelastic behavior, and energy dissipation. DSC identified a glass transition temperature (Tg) of 67 °C, critical for […]
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AGCD-Net: Attention Guided Context Debiasing Network for Emotion Recognition
Context-aware emotion recognition (CAER) enhances affective computing in real-world scenarios, but traditional methods often suffer from context bias-spurious correlation between background context and emotion labels (e.g. associating “garden” with “happy”). In this paper, we propose AGCD-Net, an Attention Guided Context Debiasing model that introduces Hybrid ConvNeXt, a novel convolutional encoder that extends the ConvNeXt backbone […]
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MANAGING READINESS FOR CHANGE TO UNLOCK PROJECT PERFORMANCE -A quantitative study at the cross-section of change- and project management practices-
This study explores the influence of perceptions on individual readiness for change as an explanatory factor in the field of organizational behavior and renewed human resource practices. Hereby, this study offers a fresh perspective on the comparative significance of culture versus nationality as explanatory constructs to further explore the realm of diversity-, equity- and inclusion […]
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Smart Fleet Management for Shared Micro-mobility: Balanced demand, Redistribution and Charging via Deep Reinforcement Learning
Shared electric micro-mobility, as an emerging mode of urban transportation, has been booming worldwide in recent years. Al though it provides sustainable, eco-friendly, and cost-effective mobility, it also faces several challenges, particularly due to existing inefficient fleet management strategies. These typically rely on fixed redistribution schedules that fail to adapt to highly dynamic user demand […]
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An enhanced genetic algorithm for optimized task allocation and planning in heterogeneous multi-robot systems
Efficient task allocation and path planning in heterogeneous multi-robot systems (MRS) remains a significant challenge in industrial inspection contexts, particularly when robots exhibit diverse sensing capabilities and must operate across spatially distributed sites. To address the limitations of exact methods and conventional heuristics, we propose a novel two-phase enhanced genetic algorithm (EGA) tailored for capability-constrained […]
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