TY - JOUR
T1 - Human Compatible Stiffness Modulation of a Novel VSA for Physical Human-Robot Interaction
AU - Zhu, Yu
AU - Bai, Shaoping
N1 - Funding Information:
This work was supported in part by Independent Research Fund Denmark (DFF) through VIEXO Project.
Publisher Copyright:
© 2016 IEEE.
PY - 2023/5/1
Y1 - 2023/5/1
N2 - Due to intensive human-robot interaction in exoskeletons, it is desirable to design and control the exoskeletons with behavior compatible to human limbs to achieve natural and energy-efficient motion assistance. This requires both novel variable stiffness actuators and also technologies able to detect human muscle stiffness, upon which exoskeleton joint stiffness can be tuned. In this letter, a novel stiffness modulation method is proposed to achieve variable stiffness with respect to human status. The method is developed upon a novel actuator of nonlinear variable stiffness. Moreover, human joint stiffness is estimated innovatively from Force Myography (FMG) signals. The correlation between the recorded FMG and human joint stiffness is established with Machine Learning methods, which is further used for online estimation. An elbow joint exoskeleton is finally developed and tested. The results validate experimentally the methods for bionic compatible stiffness modulation.
AB - Due to intensive human-robot interaction in exoskeletons, it is desirable to design and control the exoskeletons with behavior compatible to human limbs to achieve natural and energy-efficient motion assistance. This requires both novel variable stiffness actuators and also technologies able to detect human muscle stiffness, upon which exoskeleton joint stiffness can be tuned. In this letter, a novel stiffness modulation method is proposed to achieve variable stiffness with respect to human status. The method is developed upon a novel actuator of nonlinear variable stiffness. Moreover, human joint stiffness is estimated innovatively from Force Myography (FMG) signals. The correlation between the recorded FMG and human joint stiffness is established with Machine Learning methods, which is further used for online estimation. An elbow joint exoskeleton is finally developed and tested. The results validate experimentally the methods for bionic compatible stiffness modulation.
KW - Compliant joint
KW - force myography (FMG)
KW - joint stiffness estimation
KW - physical human-robot interaction
KW - variable stiffness actuator (VSA)
UR - http://www.scopus.com/inward/record.url?scp=85151359560&partnerID=8YFLogxK
U2 - 10.1109/LRA.2023.3257711
DO - 10.1109/LRA.2023.3257711
M3 - Journal article
AN - SCOPUS:85151359560
SN - 2377-3766
VL - 8
SP - 3023
EP - 3030
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 5
ER -