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ORCIDJakub Lengiewicz
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2020 – today
- 2024
[j5]Saurabh Deshpande
, Stéphane P. A. Bordas, Jakub Lengiewicz:
MAgNET: A graph U-Net architecture for mesh-based simulations. Eng. Appl. Artif. Intell. 133: 108055 (2024)- [i6]Zhaoxiang Shen, Raúl I. Sosa, Stéphane P. A. Bordas, Alexandre Tkatchenko, Jakub Lengiewicz:
Quantum-informed simulations for mechanics of materials: DFTB+MBD framework. CoRR abs/2404.04216 (2024) - [i5]Saurabh Deshpande, Hussein Rappel, Mark Hobbs, Stéphane P. A. Bordas, Jakub Lengiewicz:
Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids. CoRR abs/2407.10732 (2024) - 2022
- [i4]Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas:
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations. CoRR abs/2211.00713 (2022) - [i3]Saurabh Deshpande, Raúl I. Sosa, Stéphane P. A. Bordas, Jakub Lengiewicz:
Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics. CoRR abs/2212.01386 (2022) - 2021
- [j4]Benoît Piranda, Pawel Chodkiewicz, Pawel Holobut, Stéphane P. A. Bordas, Julien Bourgeois, Jakub Lengiewicz:
Distributed Prediction of Unsafe Reconfiguration Scenarios of Modular Robotic Programmable Matter. IEEE Trans. Robotics 37(6): 2226-2233 (2021) - [i2]Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas:
FEM-based Real-Time Simulations of Large Deformations with Probabilistic Deep Learning. CoRR abs/2111.01867 (2021) - 2020
- [j3]Marco Magliulo, Jakub Lengiewicz, Andreas Zilian, Lars A. A. Beex:
Beam-inside-beam contact: Mechanical simulations of slender medical instruments inside the human body. Comput. Methods Programs Biomed. 196: 105527 (2020) - [c5]Pawel Holobut, Stéphane P. A. Bordas, Jakub Lengiewicz:
Autonomous model-based assessment of mechanical failures of reconfigurable modular robots with a Conjugate Gradient solver. IROS 2020: 11696-11702 - [i1]Benoît Piranda, Pawel Chodkiewicz, Pawel Holobut, Stéphane P. A. Bordas, Julien Bourgeois, Jakub Lengiewicz:
Distributed prediction of unsafe reconfiguration scenarios of modular-robotic Programmable Matter. CoRR abs/2006.11071 (2020)
2010 – 2019
- 2019
- [j2]Jakub Lengiewicz, Pawel Holobut:
Efficient collective shape shifting and locomotion of massively-modular robotic structures. Auton. Robots 43(1): 97-122 (2019) - 2017
- [j1]Jakub Lengiewicz, Michal Kursa, Pawel Holobut:
Modular-robotic structures for scalable collective actuation. Robotica 35(4): 787-808 (2017) - [c4]Pawel Holobut, Jakub Lengiewicz:
Distributed computation of forces in modular-robotic ensembles as part of reconfiguration planning. ICRA 2017: 2103-2109 - 2016
- [c3]Pawel Holobut, Pawel Chodkiewicz, Anna Macios, Jakub Lengiewicz:
Internal localization algorithm based on relative positions for cubic-lattice modular-robotic ensembles. IROS 2016: 3056-3062 - 2015
- [c2]Pawel Holobut, Michal Kursa, Jakub Lengiewicz:
Efficient modular-robotic structures to increase the force-to-weight ratio of scalable collective actuators. IROS 2015: 3302-3307 - 2014
- [c1]Pawel Holobut, Michal Kursa, Jakub Lengiewicz:
A class of microstructures for scalable collective actuation of Programmable Matter. IROS 2014: 3919-3925
Coauthor Index
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