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

Voici les éléments 211-217 de 724

    • Combining HoloLens and Leap-Motion for Free Hand-Based 3D Interaction in MR Environments 
      Communication avec acte
      ABABSA, Fakhreddine; HE, Junhui; ccCHARDONNET, Jean-Rémy (Springer International Publishing, 2020)
      The ability to interact with virtual objects using gestures would allow users to improve their experience in Mixed Reality (MR) environments, especially when they use AR headsets. Today, MR head-mounted displays like the ...
    • Process optimisation using collaborative robots - comparative case study 
      Article dans une revue avec comité de lecture
      POCACHARD, Jérôme; ccKLEMENT, Nathalie; ccQUENEHEN, Anthony (Elsevier, 2019)
      Human Robot Collaboration is seen as a significant feature of Industry 4.0 implementation. Collaborative robots (cobots) are supposed to deliver superior process performance, which was so far achieved through the application ...
    • ImPro: Immersive Prototyping in Virtual Environments for Industrial Designers 
      Communication avec acte
      STADLER, Sebastian; CORNET, Henriette; MAZEAS, Damien; FRENKLER, Fritz; ccCHARDONNET, Jean-Rémy (Cambridge University Press (CUP), 2020)
      Computer-Aided Design (CAD) constitutes an important tool for industrial designers. Similarly, Virtual Reality (VR) has the capability to revolutionize how designers work with its increased sense of scale and perspective. ...
    • Simulation and optimization of robotic tasks for UV treatment of diseases in horticulture 
      Article dans une revue avec comité de lecture
      ccMAZAR, Merouane; SAHNOUN, M’hammed; BETTAYEB, Belgacem; LOUIS, Anne; ccKLEMENT, Nathalie (Springer, 2020)
      Robotization is increasingly used in the agriculture since the last few decades. It is progressively replacing the human workforce that is deserting the agricultural sector, partly because of the harshness of its activities ...
    • Non-intrusive reduced order modelling for the dynamics of geometrically nonlinear flat structures using three-dimensional finite elements 
      Article dans une revue avec comité de lecture
      VIZZACCARO, Alessandra; GIVOIS, Arthur; LONGOBARDI, Pierluigi; ccSHEN, Yichang; DEÜ, Jean-François; SALLES, Loïc; ccTOUZÉ, Cyril; ccTHOMAS, Olivier (Springer Verlag, 2020)
      Non-intrusive methods have been used since two decades to derive reduced-order models for geometrically nonlinear structures, with a particular emphasis on the so-called STiffness Evaluation Procedure (STEP), relying on ...
    • An Efficient Human Activity Recognition Technique Based on Deep Learning 
      Article dans une revue avec comité de lecture
      KHELALEF, Aziz; ABABSA, Fakhreddine; BENOUDJIT, Nabil (MAIK Nauka/Interperiodica (МАИК Наука/Интерпериодика), 2019)
      In this paper, we present a new deep learning-based human activity recognition technique. First, we track and extract human body from each frame of the video stream. Next, we abstract human silhouettes and use them to ...
    • Collision Avoidance of Redundant Robotic Manipulators Using Newton’s Method 
      Article dans une revue avec comité de lecture
      SAFEEA, Mohammad; NETO, Pedro; ccBEAREE, Richard (Springer Verlag, 2020)
      This study investigates the application of Newton method to the problems of collision avoidance and path planning for robotic manipulators, especially robots with high Degrees of Freedom (DOF). The proposed algorithm applies ...