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Improved Stability of Running over Unknown Rough Terrain via Prescribed Energy Removal

  • Bruce Miller
  • Ben Andrews
  • Jonathan E. Clark
Chapter
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 79)

Abstract

The speed and maneuverability at which legged animals can travel through rough and cluttered landscapes has provided inspiration for the pursuit of legged robots with similar capabilities. Researchers have developed reduced-order models of legged locomotion and have begun investigating complementary control strategies based on observed biological control schemes. This study examines a novel control law which prescribes a feed-forward actuation scheme in which energy is actively removed during a portion of each stride to maximize stability. The behavior of this approach is demonstrated on a dynamic running platform while traversing a track with unexpected alterations in terrain height. Results indicate that this novel control approach provides greater stability for a single-legged hopping robot than more traditional control methods.

Keywords

Stance Phase Rough Terrain Forward Velocity Guinea Fowl Legged Robot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2014

Authors and Affiliations

  • Bruce Miller
    • 1
  • Ben Andrews
    • 1
  • Jonathan E. Clark
    • 1
  1. 1.FAMU & FSU College of EngineeringTallahasseeUSA

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