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| Content Provider | PubMed Central |
|---|---|
| Author | Spröwitz, Alexander T. Mostafa, Ajallooeian Tuleu, Alexandre Jan, Ijspeert Auke |
| Copyright Year | 2014 |
| Abstract | 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. |
| Related Links | http://dx.doi.org/10.3389/fncom.2014.00027 |
| Starting Page | 27 |
| File Format | |
| ISSN | 16625188 |
| e-ISSN | 16625188 |
| Journal | Frontiers in Computational Neuroscience |
| Volume Number | 8 |
| Language | English |
| Publisher | Frontiers Media S.A. |
| Publisher Date | 2014-03-01 |
| Access Restriction | Open |
| Rights Holder | Frontiers Media S.A. |
| Subject Keyword | Cellular and Molecular Neuroscience Neuroscience (miscellaneous) Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cellular and Molecular Neuroscience |
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