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RoboPhysics inspired experiments to understand how canines move over regular obstacle arrays

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Abstract

Animals move with economy and dexterity that far exceed their robotic counterparts, although robots appear to be catching up. Combined Robophysical and animal experiments have the potential to reveal general principles of legged locomotion. Recent robot experiments have shown that changes in gait can have large effects on locomotor behavior when moving over regular obstacle arrays. For example, changing gait between trot and bound alters the stable heading of travel over the obstacles. Inspired by this, we hypothesized that canines would strongly adapt their gait when confronted with similar obstacles. Surprisingly, they did not exhibit large changes in gait. Therefore, in this study we step back to characterize changes in basic stride parameters and spatial aspects of locomotion. These include stride length, heading relative to the obstacles, and comparisons to movement over flat ground. We report results from 9 dogs moving over domed obstacles with spacing that brackets their natural trotting stride length (80, 100, and 120 percent). These studies may reveal how legged systems can utilize their interaction with complex environments for steering, course planning, and/or more stable and energetically efficient movement.

Publication: Qian, F. and D. E. Koditschek (2020). "An obstacle disturbance selection framework: emergent robot steady states under repeated collisions." The International Journal of Robotics Research 39(13): 1549-1566.<br><br>Joyce, M., S. Wilshin, F. Qian and A. Spence (2021). Gait control for obstacle negotiation in canines. SOCIETY FOR INTEGRATIVE AND COMPARATIVE BIOLOGY, 2021 VIRTUAL ANNUAL MEETING (VAM).<br><br>Hu, H., M. Kvalheim, M. Joyce, S. Wilshin, A. Spence and F. Qian (2020). A mode map representation to predict steady states and attraction basins for legged locomotion on obstacle terrains. International Conference on Intelligent Robotics<br>and Systems (IROS). Workshop: Robotics-inspired biology, Online.<br><br>Joyce, M., Wilshin, S., Spence, A., (2022). Robophysics-inspired biology experiments to study gait control for obstacle negotiation in canines. American Physical Society March Meeting, 2022. Session: Q03 RoboPhysics

Presenters

  • Benjamin Doshna

    Temple Univserity

Authors

  • Benjamin Doshna

    Temple Univserity

  • Michelle Joyce

    Stanford Univsersity

  • Haodi Hu

    University of Southern California

  • Feifei Qian

    University of Southern California

  • Simon Wilshin

    Royal Veterinary College

  • Andrew J Spence

    Temple University