Name
Abstract | ||
|---|---|---|
Today, Automated Guided Vehicles (AGVs) still have a low market share in logistics, compared to manual forklifts. We identified one of the main bottlenecks in the rather long deployment time which involves precise 2D mapping of the plant, 3D geo-referencing of pick-up/ drop positions and the manual design of the roadmap. The long deployment time has various reasons: in state-of-the-art plant installations, designated infrastructure is still necessary for the localization; the mapping process requires highly skilled personnel; in many cases unavailable or inappropriate position information of drop points for goods must be corrected on site. Finally, the design of the roadmap, performed by expert technicians is manually optimised in a tedious process to achieve maximum flow of goods for the plant operator. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.robot.2016.10.018 | Robotics and Autonomous Systems |
Keywords | Field | DocType |
AGVs,3D mapping,Roadmap creation | Software deployment,Laser scanning,Virtual representation,Computer science,Simulation,Segmentation,Free space,Operator (computer programming),Market share,Semantic map | Journal |
Volume | ISSN | Citations |
87 | 0921-8890 | 5 |
PageRank | References | Authors |
0.54 | 32 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patric Beinschob | 1 | 6 | 0.89 |
| Mark Meyer | 2 | 36 | 6.50 |
| Christoph Reinke | 3 | 6 | 0.89 |
| Valerio Digani | 4 | 52 | 4.94 |
| Cristian Secchi | 5 | 977 | 81.94 |
| Lorenzo Sabattini | 6 | 393 | 36.65 |