Renaud Ronsse, Ph.D.

IMMC Université catholique de Louvain, Ottignies-Louvain-la-Neuve, Wallonie, Belgium 
"Renaud Ronsse"
Mean distance: 16.9 (cluster 29)
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Vandamme C, Otlet V, Ronsse R, et al. (2023) Model of gait control in Parkinson's disease and prediction of robotic assistance. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Al-dabbagh AH, Ronsse R. (2020) A review of terrain detection systems for applications in locomotion assistance Robotics and Autonomous Systems. 133: 103628
Leconte P, Stoquart G, Lejeune T, et al. (2018) Rhythmic robotic training enhances motor skills of both rhythmic and discrete upper-limb movements after stroke: a longitudinal pilot study. International Journal of Rehabilitation Research. Internationale Zeitschrift Fur Rehabilitationsforschung. Revue Internationale De Recherches De Readaptation
Van der Noot N, Ijspeert AJ, Ronsse R. (2018) Bio-inspired controller achieving forward speed modulation with a 3D bipedal walker The International Journal of Robotics Research. 37: 168-196
Heins S, Flynn L, Geeroms J, et al. (2018) Torque control of an active elastic transfemoral prosthesis via quasi-static modelling Robotics and Autonomous Systems. 107: 100-115
Van der Noot N, Ijspeert AJ, Ronsse R. (2018) Neuromuscular model achieving speed control and steering with a 3D bipedal walker Autonomous Robots. 43: 1537-1554
Ruiz Garate V, Parri A, Yan T, et al. (2017) Experimental Validation of Motor Primitive-Based Control for Leg Exoskeletons during Continuous Multi-Locomotion Tasks. Frontiers in Neurorobotics. 11: 15
Leconte P, Ronsse R. (2016) Performance-based robotic assistance during rhythmic arm exercises. Journal of Neuroengineering and Rehabilitation. 13: 82
Leconte P, Orban de Xivry JJ, Stoquart G, et al. (2016) Rhythmic arm movements are less affected than discrete ones after a stroke. Experimental Brain Research
Ruiz Garate V, Parri A, Yan T, et al. (2016) Walking Assistance Using Artificial Primitives: A Novel Bioinspired Framework Using Motor Primitives for Locomotion Assistance Through a Wearable Cooperative Exoskeleton Ieee Robotics and Automation Magazine
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