TY - JOUR
T1 - Underactuated Soft Hip Exosuit Based on Adaptive Oscillators to Assist Human Locomotion
AU - Tricomi, Enrica
AU - Lotti, Nicola
AU - Missiroli, Francesco
AU - Zhang, Xiaohui
AU - Xiloyannis, Michele
AU - Muller, Thomas
AU - Crea, Simona
AU - Papp, Emese
AU - Krzywinski, Jens
AU - Vitiello, Nicola
AU - Masia, Lorenzo
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2022/4/1
Y1 - 2022/4/1
N2 - Reproducing the mechanisms of human locomotion is a hard challenge. Assistive wearable devices in this context need to be lightweight, portable, and to adapt to the wearer's walking pattern. Aiming to combine the aforementioned features, we developed a soft wearable exosuit to assist hip flexion during walking. The main feature of the device is underactuation, i.e., a single actuator is used to assist bilateral hip flexion. A control strategy based on Adaptive Oscillators and gait phase estimation is implemented to deliver flexible assistance and to adapt to changes in walking pattern. The system was tested on six healthy subjects. Preliminary results show good performance of the control algorithm to track human gait and to deliver symmetrical assistance to both legs. First kinematic and muscular assessments revealed promising results at walking speeds near to the natural human walking, where the device did not alter hip kinematics and decreased the effort required by muscles contributing to hip flexion. Once validated on a larger sample of subjects, the device can have the potentialities to be used in clinical and wellness applications.
AB - Reproducing the mechanisms of human locomotion is a hard challenge. Assistive wearable devices in this context need to be lightweight, portable, and to adapt to the wearer's walking pattern. Aiming to combine the aforementioned features, we developed a soft wearable exosuit to assist hip flexion during walking. The main feature of the device is underactuation, i.e., a single actuator is used to assist bilateral hip flexion. A control strategy based on Adaptive Oscillators and gait phase estimation is implemented to deliver flexible assistance and to adapt to changes in walking pattern. The system was tested on six healthy subjects. Preliminary results show good performance of the control algorithm to track human gait and to deliver symmetrical assistance to both legs. First kinematic and muscular assessments revealed promising results at walking speeds near to the natural human walking, where the device did not alter hip kinematics and decreased the effort required by muscles contributing to hip flexion. Once validated on a larger sample of subjects, the device can have the potentialities to be used in clinical and wellness applications.
KW - Adaptive oscillators
KW - and learning for soft robots
KW - control
KW - gait phase
KW - modeling
KW - underactuated robots
KW - wearable robotics
UR - http://www.scopus.com/inward/record.url?scp=85121836299&partnerID=8YFLogxK
U2 - 10.1109/LRA.2021.3136240
DO - 10.1109/LRA.2021.3136240
M3 - Article
AN - SCOPUS:85121836299
SN - 2377-3766
VL - 7
SP - 936
EP - 943
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 2
ER -