activity
20232025
collaborators

6 papers

cs.RO2025

Adaptive Negative Damping Control for User-Dependent Multi-Terrain Walking Assistance with a Hip Exoskeleton

Giulia Ramella, Auke Ijspeert, Mohamed Bouri

Hip exoskeletons are known for their versatility in assisting users across varied scenarios. However, current assistive strategies often lack the flexibility to accommodate for ind…

cs.RO2025

Rapid Online Learning of Hip Exoskeleton Assistance Preferences

Giulia Ramella, Auke Ijspeert, Mohamed Bouri

Hip exoskeletons are increasing in popularity due to their effectiveness across various scenarios and their ability to adapt to different users. However, personalizing the assistan…

cs.RO2024

Locomotion Mode Transitions: Tackling System- and User-Specific Variability in Lower-Limb Exoskeletons

Andrea Dal Prete, Zeynep Özge Orhan, Anastasia Bolotnikova +3

Accurate detection of locomotion transitions, such as walk to sit, walk to stair ascent, and descent, is crucial to effectively control robotic assistive devices, such as lower-lim…

cs.CV2024

Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy

Yuxuan Wen, Evgenia Roussinova, Olivier Brina +2

Guidewire segmentation during endovascular interventions holds the potential to significantly enhance procedural accuracy, improving visualization and providing critical feedback t…

cs.RO2023

ExoRecovery: Push Recovery with a Lower-Limb Exoskeleton based on Stepping Strategy

Zeynep Özge Orhan, Milad Shafiee, Vincent Juillard +3

Balance loss is a significant challenge in lower-limb exoskeleton applications, as it can lead to potential falls, thereby impacting user safety and confidence. We introduce a cont…

cs.RO2023

Maximizing Performance with Minimal Resources for Real-Time Transition Detection

Zeynep Ozge Orhan, Andrea Dal Prete, Anastasia Bolotnikova +3

Assistive devices, such as exoskeletons and prostheses, have revolutionized the field of rehabilitation and mobility assistance. Efficiently detecting transitions between different…