Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

 

Le LISPEN met en synergie les compétences d’enseignants-chercheurs des campus d’Aix-en- Provence de Cluny (Institut Image à Chalon sur Saône) et de Lille autour de la maîtrise du développement et l’exploitation des systèmes dynamiques multi-physiques et virtuels pour l’Industrie du Futur. Les thématiques de recherche traitent de l’Ingénierie Système & Maquette numérique, la Simulation et le Contrôle des systèmes, l’Interaction Homme-Système et l’Aide à la décision.
http://lispen.ensam.eu/

Recent Submissions

  • Future Planet - How the present can influence the future 
    Communication avec acte
    CHRISTMANN, Jonas Merlin; ccLUDWIG, Jendrik; TREU, Moritz; ccLANGBEHN, Eike; ccRAOUX, Olivier; BUAILLON, Roman; ccLEMONNIER, Manon; ccCHARDONNET, Jean-Rémy (IEEE, 2025-03-08)
    "Future Planet - How the present can influence the future" is an interactive and collaborative virtual environment designed to raise awareness of environmental issues and promote sustainable choices. The project addresses ...
  • Enhancing Asynchronous Learning in immersive Environments: Exploring Baseline Modalities for Avatar-Based AR Guidance 
    Communication avec acte
    ccMAYER, Anjela; MIGUEL-ALONSO, Ines; ccCHARDONNET, Jean-Rémy; BUSTILLO, Andres; ccOVTCHAROVA, Jivka (IEEE, 2025-03-08)
    This study investigates baseline modalities for evaluating Augmented Reality (AR) avatar guidance in asynchronous collaboration on spatially complex tasks. A formative study with three participants compared smartphone ...
  • Optimizing social interactions in VR 
    Article dans une revue avec comité de lecture
    MINDER, Eloïse; ccNEYRET, Solène; ccFLEURY, Sylvain; GUILLET, Christophe; ccCHARDONNET, Jean-Rémy (2025-04-07)
    Technological developments have made Virtual Reality (VR) technologies accessible, and have democratized its use for industrial, cultural or entertainment purposes. VR can be seen as a unique medium: while being immersed ...
  • Extended Intelligence for Rapid Cognitive Reconfiguration 
    Article dans une revue avec comité de lecture
    ccMAYER, Anjela; OTTO, Simon; ccCHARDONNET, Jean-Rémy; ccPUCHTA, Alexander; ccFLEISCHER, Jürgen; ccOVTCHAROVA, Jivka (Walter de Gruyter GmbH, 2025-03-27)
    With today‘s trend toward mass customization, fast and efficient reconfiguration of manufacturing systems is essential. New artificial intelligence and robotics developments play a key role in optimizing these processes. ...
  • eCAD-Net: Editable Parametric CAD Models Reconstruction from Dumb B-Rep Models Using Deep Neural Networks 
    Article dans une revue avec comité de lecture
    ZHANG, Chao; PINQUIE, Romain; CARASI, Gregorio; DE CHARNACE, Henri; ccPERNOT, Jean-Philippe (Elsevier BV, 2025-01)
    This paper introduces a novel framework capable of reconstructing editable parametric CAD models from dumb B-Rep models. First, each B-Rep model is represented with a network-friendly formalism based on UVgraph, which ...
  • Machine learning-based 3D scan coverage prediction for smart-control applications 
    Article dans une revue avec comité de lecture
    LI, Tingcheng; ccPOLETTE, Arnaud; LOU, Ruding; JUBERT, Manon; NOZAIS, Dominique; ccPERNOT, Jean-Philippe (Elsevier BV, 2024-11)
    Automatic control of a workpiece being manufactured is a requirement to ensure in-line correction and thus move towards a more intelligent manufacturing system. There is therefore a need to develop control strategies which ...
  • Interface-Based Search and Automatic Reassembly of CAD Models for Database Expansion and Model Reuse 
    Article dans une revue avec comité de lecture
    VERGEZ, Lucas; ccPOLETTE, Arnaud; ccPERNOT, Jean-Philippe (Elsevier BV, 2024-02)
    This paper introduces a new framework for reassembling CAD models of mechanical parts. The generated CAD assemblies are well-constrained, with collision-free parts, and they are ready-to-use for downstream applications. ...

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