Haptic Transparency and Interaction Force Control for a Lower Limb Exoskeleton

Emek Bars Kucuktabak*, Yue Wen, Sangjoon J. Kim, Matthew R. Short, Daniel Ludvig, Levi Hargrove, Eric J. Perreault, Kevin M. Lynch, Jose L. Pons

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Controlling the interaction forces between a human and an exoskeleton is crucial for providing transparency or adjusting assistance or resistance levels. However, it is an open problem to control the interaction forces of lower limb exoskeletons designed for unrestricted overground walking. For these types of exoskeletons, it is challenging to implement force/torque sensors at every contact between the user and the exoskeleton for direct force measurement. Moreover, it is important to compensate for the exoskeleton's whole-body gravitational and dynamical forces, especially for heavy lower limb exoskeletons. Previous works either simplified the dynamic model by treating the legs as independent double pendulums, or they did not close the loop with interaction force feedback. The proposed whole-exoskeleton closed-loop compensation (WECC) method calculates the interaction torques during the complete gait cycle by using whole-body dynamics and joint torque measurements on a hip-knee exoskeleton. Furthermore, it uses a constrained optimization scheme to track desired interaction torques in a closed loop while considering physical and safety constraints. We evaluated the haptic transparency and dynamic interaction torque tracking of WECC control on three subjects. We also compared the performance of WECC with a controller based on a simplified dynamic model and a passive version of the exoskeleton. The WECC controller results in a consistently low absolute interaction torque error during the whole gait cycle for both zero and nonzero desired interaction torques. In contrast, the simplified controller yields poor performance in tracking desired interaction torques during the stance phase.

Original languageEnglish (US)
Pages (from-to)1842-1859
Number of pages18
JournalIEEE Transactions on Robotics
Volume40
DOIs
StatePublished - 2024

Funding

This work was supported in part by the National Science Foundation/National Robotics Initiative under Grant 2024488, in part by the Northwestern University, and in part by the Turkish Fulbright Commission.

Keywords

  • Assistive robots
  • exoskeletons
  • interaction force control
  • physical humanrobot interaction
  • rehabilitation robots

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

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