The Effects of Torque Magnitude and Stiffness in Arm Guidance Through Joint Torque Feedback

Joint torque feedback is a new and intuitive way of delivering kinesthetic feedback to a person or guiding them during motion tasks via wearable devices. In this study, we performed three experiments to understand how the elbow joint responds to guidance via small torques (<inline-formula> <...

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Main Authors: Hubert Kim, Alan T. Asbeck
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9676678/
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author Hubert Kim
Alan T. Asbeck
author_facet Hubert Kim
Alan T. Asbeck
author_sort Hubert Kim
collection DOAJ
description Joint torque feedback is a new and intuitive way of delivering kinesthetic feedback to a person or guiding them during motion tasks via wearable devices. In this study, we performed three experiments to understand how the elbow joint responds to guidance via small torques (<inline-formula> <tex-math notation="LaTeX">$ &lt; \!1$ </tex-math></inline-formula> Nm). We first applied open-loop torque pulses to the elbow, and determined the magnitude and delay of the resulting arm motion. Second, we provided pulses of a desired position trajectory in combination with a torque proportional to the error between the joint&#x2019;s angle and the target angle. We compared the effects of different ratios between the error and applied torque, which is the torque stiffness. Finally, we investigated step inputs from one angle to another in conjunction with different torque stiffnesses. We found that open-loop extensional torques caused large elbow movements, independent of the torque magnitude or duration, while flexional torques caused arm motion proportional to both the magnitude and duration. With position pulses, the highest gain of 0.095 Nm/deg resulted in mean position errors of less than 10 degrees, while the lowest gain of 0.012 Nm/deg resulted in mean position errors of nearly 20 degrees. The higher gains caused the arm to move faster and required higher torques, likely due to masking. The arm had a bandwidth of close to 2 Hz, and step inputs resulted in larger mean errors during flexional motion (15.3 degrees for flexion vs. 9.0 degrees for extension).
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spelling doaj.art-df65ed312ae5440593fc57833d6b7b332022-12-22T04:15:55ZengIEEEIEEE Access2169-35362022-01-01105842585410.1109/ACCESS.2022.31419819676678The Effects of Torque Magnitude and Stiffness in Arm Guidance Through Joint Torque FeedbackHubert Kim0https://orcid.org/0000-0002-6383-9693Alan T. Asbeck1https://orcid.org/0000-0002-5589-7797Mechanical Engineering Department, Virginia Polytechnic Institute and State University, Blacksburg, VA, USAMechanical Engineering Department, Virginia Polytechnic Institute and State University, Blacksburg, VA, USAJoint torque feedback is a new and intuitive way of delivering kinesthetic feedback to a person or guiding them during motion tasks via wearable devices. In this study, we performed three experiments to understand how the elbow joint responds to guidance via small torques (<inline-formula> <tex-math notation="LaTeX">$ &lt; \!1$ </tex-math></inline-formula> Nm). We first applied open-loop torque pulses to the elbow, and determined the magnitude and delay of the resulting arm motion. Second, we provided pulses of a desired position trajectory in combination with a torque proportional to the error between the joint&#x2019;s angle and the target angle. We compared the effects of different ratios between the error and applied torque, which is the torque stiffness. Finally, we investigated step inputs from one angle to another in conjunction with different torque stiffnesses. We found that open-loop extensional torques caused large elbow movements, independent of the torque magnitude or duration, while flexional torques caused arm motion proportional to both the magnitude and duration. With position pulses, the highest gain of 0.095 Nm/deg resulted in mean position errors of less than 10 degrees, while the lowest gain of 0.012 Nm/deg resulted in mean position errors of nearly 20 degrees. The higher gains caused the arm to move faster and required higher torques, likely due to masking. The arm had a bandwidth of close to 2 Hz, and step inputs resulted in larger mean errors during flexional motion (15.3 degrees for flexion vs. 9.0 degrees for extension).https://ieeexplore.ieee.org/document/9676678/Haptic feedbackmotion trainingphysical human-robot interactionvirtual walljoint torque feedback
spellingShingle Hubert Kim
Alan T. Asbeck
The Effects of Torque Magnitude and Stiffness in Arm Guidance Through Joint Torque Feedback
IEEE Access
Haptic feedback
motion training
physical human-robot interaction
virtual wall
joint torque feedback
title The Effects of Torque Magnitude and Stiffness in Arm Guidance Through Joint Torque Feedback
title_full The Effects of Torque Magnitude and Stiffness in Arm Guidance Through Joint Torque Feedback
title_fullStr The Effects of Torque Magnitude and Stiffness in Arm Guidance Through Joint Torque Feedback
title_full_unstemmed The Effects of Torque Magnitude and Stiffness in Arm Guidance Through Joint Torque Feedback
title_short The Effects of Torque Magnitude and Stiffness in Arm Guidance Through Joint Torque Feedback
title_sort effects of torque magnitude and stiffness in arm guidance through joint torque feedback
topic Haptic feedback
motion training
physical human-robot interaction
virtual wall
joint torque feedback
url https://ieeexplore.ieee.org/document/9676678/
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