Name
Abstract | ||
|---|---|---|
We present a path planning framework for marine robots subject to uncertain ocean currents that exploits data from ensemble forecasting, which is a technique for current prediction used in oceanography. Ensemble forecasts represent a distribution of predicted currents as a set of flow fields that are considered to be equally likely. We show that the typical approach of computing the vector-wise me... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICRA48506.2021.9561626 | 2021 IEEE International Conference on Robotics and Automation (ICRA) |
Keywords | DocType | Volume |
Monte Carlo methods,Oceans,Weather forecasting,Estimation,Probabilistic logic,Forecast uncertainty,Robustness | Conference | 2021 |
Issue | ISSN | ISBN |
1 | 1050-4729 | 978-1-7281-9077-8 |
Citations | PageRank | References |
1 | 0.40 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chanyeol Yoo | 1 | 17 | 5.58 |
| James Ju Heon Lee | 2 | 1 | 1.07 |
| Stuart Anstee | 3 | 1 | 2.09 |
| Robert Fitch | 4 | 323 | 38.97 |