3 accepted papers
Electromyography (EMG) signals are widely used in assistive exoskeleton control for predicting human joint torque due to their ability to extract muscle activations before movement onset. The standard procedure for learning the EMG-to-torque model involves training the model on a training set of EMG…
This paper presents a unified framework that combines symmetry-aware skill transfer with energy-tank passive control to achieve safe and adaptive ankle exoskeleton assistance. Subject-specific ankle references are first extracted from wearable IMU data : Dynamic Time Warping (DTW) aligns gait cycles…
Robotic exoskeletons hold great potential for reducing physical effort and mitigating work-related musculoskeletal disorders. Nevertheless, designing exoskeletons that assist users without disrupting their natural movement remains challenging, as these devices must align seamlessly with human motor