Name
Abstract | ||
|---|---|---|
This paper presents a novel garbage pickup robot which operates on the grass. The robot is able to detect the garbage accurately and autonomously by using a deep neural network for garbage recognition. In addition, with the ground segmentation using a deep neural network, a novel navigation strategy is proposed to guide the robot to move around. With the garbage recognition and automatic navigatio... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCE.2018.2859629 | IEEE Transactions on Consumer Electronics |
Keywords | Field | DocType |
Robot kinematics,Navigation,Robot sensing systems,Image segmentation,Cleaning | Motion planning,Computer vision,Garbage,Computer science,Segmentation,Robot kinematics,Image segmentation,Artificial intelligence,Deep learning,Robot,Artificial neural network | Journal |
Volume | Issue | ISSN |
64 | 3 | 0098-3063 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinqiang Bai | 1 | 9 | 2.25 |
| Shiguo Lian | 2 | 1 | 1.71 |
| Zhaoxiang Liu | 3 | 12 | 4.69 |
| Kai Wang | 4 | 17 | 3.92 |
| Dijun Liu | 5 | 10 | 3.96 |