A stability-based mechanism for hysteresis in the walk-trot transition in quadruped locomotion.

J R Soc Interface

Department of Aeronautics and Astronautics, Graduate School of Engineering, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 6068501, Japan.

Published: April 2013

AI Article Synopsis

  • Quadrupeds change their walking patterns based on speed, with transitions showing a phenomenon called hysteresis, which is not yet fully understood.
  • Researchers used a robotic model of a quadruped to study these gait changes and their stability during the shift from walking to trotting.
  • The experiments suggested that the interactions between the robot's mechanics, its nervous system model, and the environment play a crucial role in gait changes and that the walk-trot transition features hysteresis, similar to what is observed in real dogs.

Article Abstract

Quadrupeds vary their gaits in accordance with their locomotion speed. Such gait transitions exhibit hysteresis. However, the underlying mechanism for this hysteresis remains largely unclear. It has been suggested that gaits correspond to attractors in their dynamics and that gait transitions are non-equilibrium phase transitions that are accompanied by a loss in stability. In the present study, we used a robotic platform to investigate the dynamic stability of gaits and to clarify the hysteresis mechanism in the walk-trot transition of quadrupeds. Specifically, we used a quadruped robot as the body mechanical model and an oscillator network for the nervous system model to emulate dynamic locomotion of a quadruped. Experiments using this robot revealed that dynamic interactions among the robot mechanical system, the oscillator network, and the environment generate walk and trot gaits depending on the locomotion speed. In addition, a walk-trot transition that exhibited hysteresis was observed when the locomotion speed was changed. We evaluated the gait changes of the robot by measuring the locomotion of dogs. Furthermore, we investigated the stability structure during the gait transition of the robot by constructing a potential function from the return map of the relative phase of the legs and clarified the physical characteristics inherent to the gait transition in terms of the dynamics.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3627097PMC
http://dx.doi.org/10.1098/rsif.2012.0908DOI Listing

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