Home /Research /On the control of lower extremity exoskeleton base on the interaction force of torso
HRI

On the control of lower extremity exoskeleton base on the interaction force of torso

Jiang Jinlin, Yu Wang, Heng Cao, Jun Zhu, Wenjie Zhu, Li Jin

Year
2020
Citations
2

Abstract

This paper presents an ECUST Lower-extremity Exoskeleton (ELE-ROBOT) for augmenting human performance. Most exoskeletons calculate joint torques by using ground reaction forces from foot force sensors. However, this method becomes unreliable in the complex terrain environment. We propose a new control strategy by measuring the human-robot interaction forces using force sensors mounted on the wearer's torso, and placing only switches on the foot. The exoskeleton joint's torques are estimated by this measured human-robot interaction forces. The experiments were conducted to verify the feasibility of this control method, the wearer carried 35kg load, and walked on the treadmill at 1.3m/s with exoskeleton powered on or off, then the data was compared to the wearer's natural walking gait. The results show ELE-ROBOT can reduce a portion of the carried load that is exerted on the wearer significantly and trace the joints motion in real time.

Keywords

ExoskeletonTorsoTorqueRobotComputer scienceGround reaction forceSimulationGaitArtificial intelligencePhysical medicine and rehabilitation

Related papers

Browse all HRI papers