Name
Abstract | ||
|---|---|---|
The approach of dynamical system (DS) is promising for modeling robot motion, and provides a flexible means of realizing robot learning and control. Accuracy, stability, and learning speed are the three main factors to be considered when learning robot movements from human demonstrations with DS. Some approaches yield stable dynamical systems, but these may result in a poor reproduction performanc... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSMC.2017.2705279 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | Field | DocType |
Stability analysis,Asymptotic stability,Training,Trajectory,Robot motion,Dynamics | Robot learning,Online machine learning,Stability (learning theory),Active learning (machine learning),Extreme learning machine,Computer science,Control theory,Dynamical systems theory,Artificial intelligence,Computational learning theory,Robot,Machine learning | Journal |
Volume | Issue | ISSN |
49 | 6 | 2168-2216 |
Citations | PageRank | References |
10 | 0.53 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianghua Duan | 1 | 12 | 2.26 |
| Yongsheng Ou | 2 | 243 | 42.32 |
| Jianbing Hu | 3 | 24 | 2.62 |
| Zhiyang Wang | 4 | 10 | 0.87 |
| Shaokun Jin | 5 | 10 | 2.22 |
| Chao Xu | 6 | 136 | 33.20 |