J
Jeremie Dequidt
Researcher at university of lille
Publications - 48
Citations - 1092
Jeremie Dequidt is an academic researcher from university of lille. The author has contributed to research in topics: Finite element method & Robot. The author has an hindex of 16, co-authored 45 publications receiving 816 citations. Previous affiliations of Jeremie Dequidt include École centrale de Lille & French Institute for Research in Computer Science and Automation.
Papers
More filters
Journal ArticleDOI
Software toolkit for modeling, simulation, and control of soft robots
Eulalie Coevoet,Thor Morales-Bieze,Frederick Largilliere,Zhongkai Zhang,Maxime Thieffry,Mario Sanz-Lopez,Bruno Carrez,Damien Marchal,Olivier Goury,Jeremie Dequidt,Christian Duriez +10 more
TL;DR: This paper presents a first unified software framework dedicated to modeling, simulation and control of soft robots using a unified representation based on Lagrange multipliers that enables the digital robot to be simulated in its environment using a direct model.
Proceedings ArticleDOI
Image-guided simulation of heterogeneous tissue deformation for augmented reality during hepatic surgery
Nazim Haouchine,Jeremie Dequidt,Igor Peterlik,Erwan Kerrien,Marie-Odile Berger,Stéphane Cotin +5 more
TL;DR: This method uses a real-time biomechanical model to compute a volumetric displacement field from partial three-dimensional liver surface motion that permits to properly handle the motion of internal structures even in the case of anisotropic or heterogeneous tissues.
Proceedings ArticleDOI
Real-time control of soft-robots using asynchronous finite element modeling
Frederick Largilliere,Valerian Verona,Eulalie Coevoet,Mario Sanz-Lopez,Jeremie Dequidt,Christian Duriez +5 more
TL;DR: This paper introduces a generic solution that enables a high-rate control and that is compatible with strong real-time constraints and proposes an asynchronous simulation framework that provides a better trade-off between the deformation accuracy and the computational burden.
Journal ArticleDOI
Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery
Nazim Haouchine,Stéphane Cotin,Igor Peterlik,Jeremie Dequidt,Mario Sanz Lopez,Erwan Kerrien,Marie-Odile Berger +6 more
TL;DR: This method is able to locate the in-depth positions of the tumors based on partial three-dimensional liver tissue motion using a real-time biomechanical model and permits to properly handle the motion of internal structures even in the case of anisotropic or heterogeneous tissues.
Book ChapterDOI
Interactive Simulation of Embolization Coils: Modeling and Experimental Validation
TL;DR: An original modeling is proposed to obtain interactive and accurate simulations of coil deployment and takes into account geometric nonlinearities and uses a shape memory formulation to describe its complex geometry.