S.M.M. De Rossi

TL;DR: The design and experimental testing of the robotic elbow exoskeleton NEUROExos, which allows the user's elbow and robot axes to be constantly aligned during movement, and a variable impedance antagonistic actuation system, allows it to be controlled with two alternative strategies.

TL;DR: This work proposes a new approach to get velocity and acceleration estimates of cyclical/periodic signals near to steady-state regime, by using adaptive oscillators, which combines the advantages of introducing no delay, and filtering out the high-frequency noise.

TL;DR: Preliminary results show that subjects adapt almost instantaneously to the assistance provided by the exoskeleton and can reduce their effort while keeping full control of the movement.

TL;DR: An automated segmentation method based on the analysis of plantar pressure signals recorded from two synchronized wireless foot insoles shows high classification performances achieved using estimated biomechanical variables, and shows higher delays and dispersions in phase transition detection, suggesting a lower reliability for online applications.