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

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  Case‑based tuning of a metaheuristic algorithm exploiting sensitivity analysis and design of experiments for reverse engineering applications 

  Article dans une revue avec comité de lecture

  SHAH, Ghazanfar Ali; POLETTE, Arnaud; PERNOT, Jean-Philippe; GIANNINI, Franca; MONTI, Marina (SPRINGER, 2022-03-17)

  Due to its capacity to evolve in a large solution space, the Simulated Annealing (SA) algorithm has shown very promising results for the Reverse Engineering of editable CAD geometries including parametric 2D sketches, ...
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  Automatic CAD Assemblies Generation by Linkage Graph Overlay for Machine Learning Applications 

  Article dans une revue avec comité de lecture

  VERGEZ, Lucas; POLETTE, Arnaud; PERNOT, Jean-Philippe (CAD Solutions, LLC, 2021-11-29)

  This paper introduces an approach to synthetize new CAD assemblies from existing STEP files. The algorithm first generates linkage graph by detecting linkage between components. Then it detects linkages similarities ...
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  User-Driven Computer-Assisted Reverse Engineering of Editable CAD Assembly Models 

  Article dans une revue avec comité de lecture

  SHAH, Ghazanfar Ali; POLETTE, Arnaud; PERNOT, Jean-Philippe; GIANNINI, Franca; MONTI, Marina (ASME, 2021-12-16)

  This paper introduces a novel reverse engineering (RE) technique for the reconstruction of editable computer-aided design (CAD) models of mechanical parts’ assemblies. The input is a point cloud of a mechanical parts’ ...
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  Economic and ergonomic performance enhancement in assembly process through multiple collaboration modes between human and robot 

  Article dans une revue avec comité de lecture

  QUENEHEN, Anthony; KLEMENT, Nathalie; ABDELJAOUAD, Amine Mohamed; ROUCOULES, Lionel; GIBARU, Olivier (Informa UK Limited, 2022-02)

  Collaborative robots have open new ways of designing assembly processes, thanks to their ability to share work space with operators. not only may they support the economical performance, but they can also improve the overall ...
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  Sim-optimization hybrid approach for scheduling randomly deteriorating treatment tasks in horticulture 

  Article dans une revue avec comité de lecture

  MAZAR, Merouane; BETTAYEB, Belgacem; KLEMENT, Nathalie; SAHNOUN, Mhammed; LOUIS, Anne (Elsevier BV, 2022-10)

  In this paper, we study the problem of scheduling robotized tasks in the context of Agriculture 4.0. The objective is to optimize the treatment tasks of plants against an evolving disease (mildew) within a greenhouse. The ...
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  Impact of Industrial Cyber‐Physical Systems on Reconfigurable Manufacturing Systems 

  Chapitre d'ouvrage scientifique

  DA CUNHA, Catherine; KLEMENT, Nathalie (Wiley, 2022-06)

  Production systems adapt to market changes and integrate technical and social progress. These systems are therefore now qualified as reconfigurable manufacturing systems. In order to ensure this reconfigurability, a robust ...
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  Collective Intelligence Application in a Kitting Picking Zone of the Automotive Industry 

  Chapitre d'ouvrage scientifique

  MONTOYA ZAPATA, Santiago; KLEMENT, Nathalie; SILVA, Cristovão; GIBARU, Olivier; LAFOU, Meriem (Springer International Publishing, 2022-09)

  The durability of an automobile factory depends on its flexibility and its evolution capacity to meet market expectations. These expectations tend increasingly to the vehicles’ customization. Therefore, automobile factories ...

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