Human-in-the-Loop Optimization of Exoskeleton Assistance Via Online Simulation of Metabolic Cost

Daniel F. N. Gordon, Christopher McGreavy, Andreas Christou, Sethu Vijayakumar

Research output: Contribution to journalArticlepeer-review

Abstract

Many assistive robotic devices have been developed to augment or assist human locomotion. Despite advancements in design and control algorithms, this task remains challenging. Human walking strategies are unique and complex, and assistance strategies based on the dynamics of unassisted locomotion typically offer only modest reductions to the metabolic cost of walking. Recently, human-in-the-loop (HIL) methodologies have been used to identify subject-specific assistive strategies, which offer significant improvements to energy savings. However, current implementations suffer from long measurement times, necessitating the use of low-dimensional control parameterizations, and possibly requiring multiday collection protocols to avoid subject fatigue. We present a HIL methodology, which optimizes the assistive torques provided by a powered hip exoskeleton. Using musculoskeletal modeling, we are able to evaluate simulated metabolic rate online. We applied our methodology to identify assistive torque profiles for seven subjects walking on a treadmill, and found greater reductions to metabolic cost when compared to generic or off-the-shelf controllers. In a secondary investigation, we directly compare simulated and measured metabolic rate for three subjects experiencing a range of assistance levels. The time investment required to identify assistance strategies via our protocol is significantly lower when compared to existing protocols relying on calorimetry. In the future, frameworks such as these could be used to enable shorter HIL protocols or exploit more complex control parameterizations for greater energy savings.
Original languageEnglish
Pages (from-to)1410-1429
Number of pages20
JournalIEEE Transactions on Robotics
Volume38
Issue number3
Early online date1 Feb 2022
DOIs
Publication statusPublished - 7 Jun 2022
Event2022 IEEE International Conference on Robotics and Automation - Philadelphia , United States
Duration: 23 May 202227 May 2022
https://www.icra2022.org/

Keywords

  • Assistive robotics
  • exoskeletons
  • human-in-the-loop optimization
  • musculoskeletal modeling

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