Name
Abstract | ||
|---|---|---|
This paper proposes a new attention-path planning algorithm that allows robots with limited sensing coverage to identify an unknown entity efficiently. Our focus is placed on how to plan optimal sequences of views to access more useful information needed to understand the entity. The adaptive submodular optimization technique guaranteed to achieve near-optimal performance is used to maximize the expected information gain. We verified the validity of the proposed approach to the face recognition problem through preliminary experiments. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ROMAN.2013.6628503 | RO-MAN |
Keywords | Field | DocType |
optimisation,optimal control,robots,sensing coverage,mobile robots,entity identification,adaptive submodular optimization technique,information gain,adaptive control,path planning,image sequences,face recognition problem,attention-path planning algorithm,optimal sequences,robot vision,near-optimal performance | Computer science,Artificial intelligence,Motion planning,Computer vision,Facial recognition system,Mathematical optimization,Optimal control,Information gain,Submodular set function,Adaptive control,Robot,Machine learning,Mobile robot | Conference |
ISSN | Citations | PageRank |
1944-9445 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hosun Lee | 1 | 10 | 4.66 |
| Sungmoon Jeong | 2 | 99 | 15.05 |
| Tokuichi Nakashima | 3 | 0 | 0.34 |
| Geunho Lee | 4 | 141 | 17.51 |
| Nak Young Chong | 5 | 403 | 56.29 |