Header logo is

Kinematic primitives for walking and trotting gaits of a quadruped robot with compliant legs

2014

Article

dlg


In this work we research the role of body dynamics in the complexity of kinematic patterns in a quadruped robot with compliant legs. Two gait patterns, lateral sequence walk and trot, along with leg length control patterns of different complexity were implemented in a modular, feed-forward locomotion controller. The controller was tested on a small, quadruped robot with compliant, segmented leg design, and led to self-stable and self-stabilizing robot locomotion. In-air stepping and on-ground locomotion leg kinematics were recorded, and the number and shapes of motion primitives accounting for 95\% of the variance of kinematic leg data were extracted. This revealed that kinematic patterns resulting from feed-forward control had a lower complexity (in-air stepping, 2–3 primitives) than kinematic patterns from on-ground locomotion (νm4 primitives), although both experiments applied identical motor patterns. The complexity of on-ground kinematic patterns had increased, through ground contact and mechanical entrainment. The complexity of observed kinematic on-ground data matches those reported from level-ground locomotion data of legged animals. Results indicate that a very low complexity of modular, rhythmic, feed-forward motor control is sufficient for level-ground locomotion in combination with passive compliant legged hardware.

Author(s): Spröwitz, Alexander Thomas and Ajallooeian, Mostafa and Tuleu, Alexandre and Ijspeert, Auke Jan
Journal: Frontiers in Computational Neuroscience
Volume: 8
Number (issue): 27
Pages: 1--13
Year: 2014

Department(s): Dynamic Locomotion
Bibtex Type: Article (article)

DOI: 10.3389/fncom.2014.00027
URL: http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00027/abstract

BibTex

@article{sprowitz_kinematic_2014,
  title = {Kinematic primitives for walking and trotting gaits of a quadruped robot with compliant legs},
  author = {Spr{\"o}witz, Alexander Thomas and Ajallooeian, Mostafa and Tuleu, Alexandre and Ijspeert, Auke Jan},
  journal = {Frontiers in Computational Neuroscience},
  volume = {8},
  number = {27},
  pages = {1--13},
  year = {2014},
  url = {http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00027/abstract}
}