Name
Abstract | ||
|---|---|---|
We present a novel statistical model based control algorithm, called Control in the Reliable Region of a Statistical model (CRROS). First, CRROS builds a statistical model with Gaussian process regression, which provides a prediction function and uncertainty of the prediction. Then, CRROS avoids high-uncertainty regions of the statistical model by regulating the null space of the pseudo inverse so... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TRO.2016.2589207 | IEEE Transactions on Robotics |
Keywords | Field | DocType |
Ground penetrating radar,Robots,Reliability,Uncertainty,Prediction algorithms,Training data,Standards | Kernel (linear algebra),Kriging,Heteroscedasticity,Search engine,Computer science,Control theory,Moore–Penrose pseudoinverse,Statistical model,Robot,Imagination | Journal |
Volume | Issue | ISSN |
32 | 4 | 1552-3098 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youngmok Yun | 1 | 16 | 2.36 |
| Jonathan Ko | 2 | 295 | 19.98 |
| Ashish D. Deshpande | 3 | 42 | 11.33 |