Name
Abstract | ||
|---|---|---|
This paper reports on a reactive docking behavior which uses a vision algorithm that grows linearly with the number of image pixels. The docking robot imprints (initializes) on a two-colored docking fiducial upon departing from the dock, then uses region statistics to adapt the color segmentation in changing lighting conditions. The docking behavior was implemented on a marsupial team of robots, where a daughter micro-rover had to reenter the mother robot from an approach zone with a 2-m radius and 140degrees angular width with a tolerance of +/-5degrees and +/-2 cm. Testing during outdoor conditions (noon, dusk) and challenging indoor scenarios (flashing lights) showed that using adaptation and imprinting was more robust than using imprinting alone. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/70.976026 | IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION |
Keywords | Field | DocType |
artificial intelligence, control, docking, multi-agents, vision-based robotics | DOCK,Computer vision,Segmentation,Robot kinematics,Robustness (computer science),Image segmentation,Pixel,Artificial intelligence,Robot,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
17 | 6 | 1042-296X |
Citations | PageRank | References |
19 | 1.15 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. W. Minten | 1 | 19 | 1.15 |
| R. Murphy | 2 | 1920 | 260.64 |
| Jeff Hyams | 3 | 22 | 4.12 |
| Mark Micire | 4 | 107 | 9.17 |