Reflex control of robotic gait using human walking data

Catherine MacLeod, Lin Meng, Bernard A Conway, Bernd Porr

Research output: Contribution to journalArticle

5 Citations (Scopus)
232 Downloads (Pure)

Abstract

Control of human walking is not thoroughly understood, which has implications in developing suitable strategies for the retraining of a functional gait following neurological injuries such as spinal cord injury (SCI). Bipedal robots allow us to investigate simple elements of the complex nervous system to quantify their contribution to motor control. RunBot is a bipedal robot which operates through reflexes without using central pattern generators or trajectory planning algorithms. Ground contact information from the feet is used to activate motors in the legs, generating a gait cycle visually similar to that of humans. Rather than developing a more complicated biologically realistic neural system to control the robot's stepping, we have instead further simplified our model by measuring the correlation between heel contact and leg muscle activity (EMG) in human subjects during walking and from this data created filter functions transferring the sensory data into motor actions. Adaptive filtering was used to identify the unknown transfer functions which translate the contact information into muscle activation signals. Our results show a causal relationship between ground contact information from the heel and EMG, which allows us to create a minimal, linear, analogue control system for controlling walking. The derived transfer functions were applied to RunBot II as a proof of concept. The gait cycle produced was stable and controlled, which is a positive indication that the transfer functions have potential for use in the control of assistive devices for the retraining of an efficient and effective gait with potential applications in SCI rehabilitation.
Original languageEnglish
Article numbere109959
Number of pages21
JournalPLoS One
Volume9
Issue number10
Early online date28 Oct 2014
DOIs
Publication statusPublished - 28 Oct 2014

Fingerprint

Robotics
gait
reflexes
Gait
walking
Walking
Reflex
robots
Transfer functions
Heel
Robots
Spinal Cord Injuries
spinal cord
Muscle
Leg
legs
assistive technologies
Central Pattern Generators
Self-Help Devices
Muscles

Keywords

  • human walking
  • walking control
  • robotic gait
  • bipedal robots

Cite this

MacLeod, Catherine ; Meng, Lin ; Conway, Bernard A ; Porr, Bernd. / Reflex control of robotic gait using human walking data. In: PLoS One. 2014 ; Vol. 9, No. 10.
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Reflex control of robotic gait using human walking data. / MacLeod, Catherine; Meng, Lin; Conway, Bernard A; Porr, Bernd.

In: PLoS One, Vol. 9, No. 10, e109959, 28.10.2014.

Research output: Contribution to journalArticle

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