Name
Title | ||
|---|---|---|
Common Dimensional Autoencoder for Identifying Agonist-Antagonist Muscle Pairs in Musculoskeletal Robots. |
Abstract | ||
|---|---|---|
One of the distinctive features of musculoskeletal systems is the redundancy provided by agonist-antagonist muscle pairs. To identify agonist-antagonist muscle pairs in a musculoskeletal robot, however, is difficult as it requires complex structures to mimic human physiology. Thus, we propose a method to identify agonist-antagonist muscle pairs in a complex musculoskeletal robot using motor commands. Moreover, the common dimensional autoencoder, where the encoded feature has identical dimensions to the original input vector, is used to separate the image and the kernel spaces for each time period. Finally, we successfully confirmed the efficacy of our method by applying a 2-link planar manipulator to a 3-pairs-6-muscles configuration. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-01370-7_26 | IAS |
Field | DocType | Citations |
Kernel (linear algebra),Planar manipulator,Motor commands,Autoencoder,Agonist-antagonist,Pattern recognition,Computer science,Human physiology,Redundancy (engineering),Artificial intelligence,Robot | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroaki Masuda | 1 | 0 | 1.01 |
| Shuhei Ikemoto | 2 | 52 | 18.33 |
| Koh Hosoda | 3 | 395 | 67.84 |