Design and validation of a multi-axis robotic platform for the characterization of ankle neuromechanics

Varun Nalam, Hyunglae Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents a novel multi-axis robotic platform for the characterization of two important neuromuscular properties of the human ankle: mechanical impedance and reflex responses. The platform is capable of producing highly accurate position perturbations up to an angular speed of 200°/s and emulating a wide range of haptic environments in two degree-of-freedom (DOF) of the ankle: dorsiflexion-plantarflexion (in the sagittal plane) and inversion-eversion (in the frontal plane). This unique feature allows us to seamlessly simulate realistic mechanical environments and to transiently perturb the ankle for the characterization of its neuromuscular properties. The position controller achieved the accuracy of 0.05° even under the loading condition (a subject of 95 kg standing on the platform). The haptic controller could successfully emulate a wide range of mechanical environments, from compliant to rigid (50-1000 Nm/rad), with an error of 2% of the commanded values. We further validated that the proposed platform could reliably estimate the stiffness of a mockup (17.8-171.0 Nm/rad) that resembles the human ankle within an error of 1.6%. Finally we demonstrated that the platform could be successfully utilized to elicit medium-latency and long-latency reflex responses of the ankle muscles. Implications for future ankle studies are discussed.

Original languageEnglish (US)
Title of host publicationICRA 2017 - IEEE International Conference on Robotics and Automation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages511-516
Number of pages6
ISBN (Electronic)9781509046331
DOIs
StatePublished - Jul 21 2017
Event2017 IEEE International Conference on Robotics and Automation, ICRA 2017 - Singapore, Singapore
Duration: May 29 2017Jun 3 2017

Other

Other2017 IEEE International Conference on Robotics and Automation, ICRA 2017
CountrySingapore
CitySingapore
Period5/29/176/3/17

Fingerprint

Robotics
Controllers
Muscle
Stiffness

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Cite this

Nalam, V., & Lee, H. (2017). Design and validation of a multi-axis robotic platform for the characterization of ankle neuromechanics. In ICRA 2017 - IEEE International Conference on Robotics and Automation (pp. 511-516). [7989064] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA.2017.7989064

Design and validation of a multi-axis robotic platform for the characterization of ankle neuromechanics. / Nalam, Varun; Lee, Hyunglae.

ICRA 2017 - IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers Inc., 2017. p. 511-516 7989064.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nalam, V & Lee, H 2017, Design and validation of a multi-axis robotic platform for the characterization of ankle neuromechanics. in ICRA 2017 - IEEE International Conference on Robotics and Automation., 7989064, Institute of Electrical and Electronics Engineers Inc., pp. 511-516, 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, 5/29/17. https://doi.org/10.1109/ICRA.2017.7989064
Nalam V, Lee H. Design and validation of a multi-axis robotic platform for the characterization of ankle neuromechanics. In ICRA 2017 - IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers Inc. 2017. p. 511-516. 7989064 https://doi.org/10.1109/ICRA.2017.7989064
Nalam, Varun ; Lee, Hyunglae. / Design and validation of a multi-axis robotic platform for the characterization of ankle neuromechanics. ICRA 2017 - IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 511-516
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