Name
Title | ||
|---|---|---|
Point-Wise Fusion of Distributed Gaussian Process Experts (FuDGE) Using a Fully Decentralized Robot Team Operating in Communication-Devoid Environment. |
Abstract | ||
|---|---|---|
In this paper, we focus on large-scale environment monitoring by utilizing a fully decentralized team of mobile robots. The robots utilize the resource constrained-decentralized active sensing scheme to select the most informative (uncertain) locations to observe while conserving allocated resources (battery, travel distance, etc.). We utilize a distributed Gaussian process (GP) framework to split... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TRO.2018.2794535 | IEEE Transactions on Robotics |
Keywords | Field | DocType |
Robot sensing systems,Training,Predictive models,Load modeling,Data models | Data modeling,Base station,Active sensing,Control engineering,Gaussian process,Predictive modelling,Robot,Mobile robot,Mathematics,Computation,Distributed computing | Journal |
Volume | Issue | ISSN |
34 | 3 | 1552-3098 |
Citations | PageRank | References |
1 | 0.37 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kshitij Tiwari | 1 | 1 | 1.05 |
| Sungmoon Jeong | 2 | 99 | 15.05 |
| Nak Young Chong | 3 | 403 | 56.29 |