Name
Abstract | ||
|---|---|---|
This paper addresses the material handling problem (MHS) in warehouse automation by proposing a system that uses an automated guided vehicle (AGV) in industrial environments. The aim is to optimize the picking task with respect to manual operation in a paint factory. The work describes the whole system to perform all the automatic tasks. The process is controlled by the Manufacturing Process Management System (MPMS) and an autonomous co-worker robot execute the mission in partially known environments. The navigation system implemented is safe and robust. It considers the people detection and unknown static obstacles. Also, an ultra-wide-band localization system is implemented by offering new capabilities for situation awareness in factories. Experiments with a real holonomic platform called ARCO are performed to validate the approach. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ETFA.2019.8869178 | 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
Keywords | Field | DocType |
AGV,warehouse automation | Manufacturing process management,Automated guided vehicle,Task analysis,Situation awareness,Navigation system,Robot kinematics,Control engineering,Real-time computing,Engineering,Robot,Human–robot interaction | Conference |
ISSN | ISBN | Citations |
1946-0740 | 978-1-7281-0304-4 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafael Rey | 1 | 0 | 0.68 |
| Marco Corzetto | 2 | 0 | 0.34 |
| José Antonio Cobano | 3 | 22 | 3.74 |
| Luis Merino | 4 | 325 | 26.09 |
| Fernando Caballero | 5 | 610 | 45.38 |