Abstract | ||
---|---|---|
•A SVM gait controller is proposed for the stable walking of biped robots.•The SVM controller is equipped with a mixed kernel function for the gait learning.•The SVM controller is trained based on small sample sizes.•The proposed method can satisfy the ZMP criterion well. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1016/j.asoc.2015.10.029 | Applied Soft Computing |
Keywords | Field | DocType |
Biped robots,Gait,Small sample sizes,Learning control,SVM | Control theory,Control theory,Support vector machine,Empirical risk minimization,Robustness (computer science),Artificial neural network,Robot,Mathematics,Trajectory,Kernel (statistics) | Journal |
Volume | ISSN | Citations |
38 | 1568-4946 | 4 |
PageRank | References | Authors |
0.40 | 25 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhi Liu | 1 | 1078 | 53.09 |
Liyang Wang | 2 | 4 | 0.40 |
Yun Zhang | 3 | 576 | 30.23 |
C. L. Philip Chen | 4 | 4022 | 244.76 |