dr. G.V. Durandau (Guillaume)


Over mij


Guillaume Durandau is a postdoctoral researcher at the Department of Biomechanical Engineering, University of Twente, Enschede, the Netherlands. He obtained his engineering diploma at ISEN, Toulon, France and his master degrees at the University of Sherbrooke, Sherbrooke, Canada. During his master, he spend four months at the CINESTAV, Mexico. He also obtained during his master, the Mitacs Globalink Research Award. At the beginning of 2015, he started as a research assistant at the Institute of Neurorehabilitation Systems, UMG, Gottingen, Germany. In 2017, he started is PhD at the University of Twente, Enschede, the Netherlands. During his PhD, He won the Best Demo Award in 2018 at the 7th IEEE International Conference on Biomedical Robotics, Biomechatronic and Best paper Published by IEEE-EMBS in 2017-18, 3rd place at the 7th Dutch Bio-medical Engineering Conference and the best PhD thesis Award 2021 from the European Society of Biomechanics.


Fields of interest

Wearable robotic, EMG-driven modeling, neuromusculoskeletal modeling, Neurorehabilitation


Engineering & Materials Science
Exoskeleton (Robotics)
Patient Rehabilitation
Medicine & Life Sciences
Exoskeleton Device


Wang, H., Caggiano, V. , Durandau, G. , Sartori, M., & Kumar, V. (2022). MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies. In 2022 IEEE International Conference on Robotics and Automation, ICRA 2022 (pp. 8104-8111). (Proceedings - IEEE International Conference on Robotics and Automation). IEEE. https://doi.org/10.1109/ICRA46639.2022.9811684
Durandau, G. , Rampeltshammer, W. , van der Kooij, H. , & Sartori, M. (2022). Neuromusculoskeletal Model-Based Controller for Voluntary and Continuous Assistance in a Broad Range of Locomotion Tasks. In Wearable Robotics: Challenges and Trends: Proceedings of the 5th International Symposium on Wearable Robotics, WeRob2020, and of WearRAcon Europe 2020, October 13–16, 2020 (pp. 247-250). (Biosystems and Biorobotics; Vol. 27). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-69547-7_40
Durandau, G. , Rampeltshammer, W. F. , Van Der Kooij, H. , & Sartori, M. (2020). Myoelectric model-based control of a bi-lateral robotic ankle exoskeleton during even ground locomotion . In 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020 (pp. 822-826). [9224365] (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics; Vol. 2020-November). IEEE Computer Society Press. https://doi.org/10.1109/BioRob49111.2020.9224365
Lotti, N. , Xiloyannis, M. , Durandau, G., Galofaro, E., Sanguineti, V. , Masia, L. , & Sartori, M. (2020). Adaptive model-based myoelectric control for a soft wearable arm exosuit: A new generation of wearable robot control. IEEE Robotics and Automation Magazine, 27(1), 43-53. [8963852]. https://doi.org/10.1109/MRA.2019.2955669
Cop, C. P. , Durandau, G. V. , Moya Esteban, A. , van 't Veld, R. C. , Schouten, A. C. , & Sartori, M. (2019). Model-Based Estimation of Ankle Joint Stiffness During Dynamic Tasks: a Validation-Based Approach. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4104-4107). [8857391] IEEE. https://doi.org/10.1109/EMBC.2019.8857391
Durandau, G., Farina, D., Asín-Prieto, G., Dimbwadyo-Terrer, I., Lerma-Lara, S., Pons, J. L., Moreno, J. C. , & Sartori, M. (2019). Voluntary control of wearable robotic exoskeletons by patients with paresis via neuromechanical modeling. Journal of neuroengineering and rehabilitation, 16(1), [91]. https://doi.org/10.1186/s12984-019-0559-z
Sartori, M. , Durandau, G., Dosen, S., & Farina, D. (2019). Decoding phantom limb neuro-mechanical function for a new paradigm of mind-controlled bionic limbs. In L. Masia, S. Micera, M. Akay, & J. L. Pons (Eds.), Biosystems and Biorobotics (pp. 54-57). (Biosystems and Biorobotics; Vol. 21). Springer. https://doi.org/10.1007/978-3-030-01845-0_11

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Universiteit Twente
Faculty of Engineering Technology
Horst Complex (gebouwnr. 20), kamer Z134
De Horst 2
7522LW  Enschede

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Universiteit Twente
Faculty of Engineering Technology
Horst - Ring (gebouwnr. 21)
De Horst 2
7522LW  Enschede

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Universiteit Twente
Faculty of Engineering Technology
Horst - Ring
Postbus 217
7500 AE Enschede