Name
Abstract | ||
|---|---|---|
This article presents a biomimic musculoskeletal biped which contains 7 segments and 18 muscles. The muscle model and body
dynamics are constructed based on physiological theories. A motor control system is designed to mimic natural human locomotion,
which contains a central pattern generator, a regulator, a compensator, and an impedance controller. The recurrent neural
oscillator models the central pattern generator, and an artificial neural network is used to design the regulator. From the
simulation study, we found that this biped can produce a rhythmic and stable walking movement similar to actual human walking. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s10015-005-0369-1 | Artificial Life and Robotics |
Keywords | DocType | Volume |
biped · central pattern generator · musculosk- eletal model · locomotion · rbf neural network,artificial neural network,motor control,central pattern generator | Journal | 10 |
Issue | ISSN | Citations |
2 | 1614-7456 | 1 |
PageRank | References | Authors |
0.37 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dingguo Zhang | 1 | 165 | 31.13 |
| Kuanyi Zhu | 2 | 31 | 6.20 |