Robotic wearable orthosis faces many challenges. A list, but not exhaustive, can include biomechanical coupling, wearability, intention detecting, functional coupling, energy autonomy, trajectory, and torque anticipation. Notably, from a rehabilitative perspective emerges the necessity to define the more proficient rule of interaction to induce learning processes or to support the function when the recovery limit is reached. This study aims to select the optimal solution among the available technologies. We developed an orthosis with a controller that follows the equilibrium-point hypothesis. Three experimental protocols test the transparency and the gait pattern implicit modification during the orthosis use.

Petrarca, M., Bottoni, M., Favetta, M., Carniel, S., Castelli, E., Piscitelli, D., et al. (2022). Bioinspired controller for a robotic knee orthosis. In 2022 IEEE Workshop on Complexity in Engineering, COMPENG 2022 (pp.1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/COMPENG50184.2022.9905460].

Bioinspired controller for a robotic knee orthosis

Piscitelli, D;
2022

Abstract

Robotic wearable orthosis faces many challenges. A list, but not exhaustive, can include biomechanical coupling, wearability, intention detecting, functional coupling, energy autonomy, trajectory, and torque anticipation. Notably, from a rehabilitative perspective emerges the necessity to define the more proficient rule of interaction to induce learning processes or to support the function when the recovery limit is reached. This study aims to select the optimal solution among the available technologies. We developed an orthosis with a controller that follows the equilibrium-point hypothesis. Three experimental protocols test the transparency and the gait pattern implicit modification during the orthosis use.
Si
paper
Equilibrium-point theory; Gait; Knee orthosis; Motor control; Neuro-rehabilitation; Robotics;
English
2022 IEEE Workshop on Complexity in Engineering, COMPENG 2022 - 18 July 2022 through 20 July 2022
978-1-7281-7124-1
2022
Petrarca, M., Bottoni, M., Favetta, M., Carniel, S., Castelli, E., Piscitelli, D., et al. (2022). Bioinspired controller for a robotic knee orthosis. In 2022 IEEE Workshop on Complexity in Engineering, COMPENG 2022 (pp.1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/COMPENG50184.2022.9905460].
Petrarca, M; Bottoni, M; Favetta, M; Carniel, S; Castelli, E; Piscitelli, D; Summa, S
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/398733
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