Name
Title | ||
|---|---|---|
OROS: Orchestrating ROS-driven Collaborative Connected Robots in Mission-Critical Operations |
Abstract | ||
|---|---|---|
Battery life for collaborative robotics scenarios is a key challenge limiting operational uses and deployment in real life. Mission-Critical tasks are among the most relevant and challenging scenarios. As multiple and heterogeneous on-board sensors are required to explore unknown environments in simultaneous localization and mapping (SLAM) tasks, battery life problems are further exacerbated. Given the time-sensitivity of mission-critical operations, the successful completion of specific tasks in the minimum amount of time is of paramount importance. In this paper, we analyze the benefits of 5G-enabled collaborative robots by enhancing the Robot Operating System (ROS) capabilities with network orchestration features for energy-saving purposes. We propose OROS, a novel orchestration approach that minimizes mission-critical task completion times of 5G-connected robots by jointly optimizing robotic navigation and sensing together with infrastructure resources. Our results show that OROS significantly outperforms state-of-the-art solutions in exploration tasks completion times by exploiting 5G orchestration features for battery life extension. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/WoWMoM54355.2022.00026 | 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) |
Keywords | DocType | ISBN |
5G,Orchestration,Robotics,Optimization | Conference | 978-1-6654-0877-6 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carmen Delgado | 1 | 0 | 0.68 |
| Lanfranco Zanzi | 2 | 13 | 2.01 |
| Xi Li | 3 | 0 | 1.01 |
| Xavier Costa-Pérez | 4 | 0 | 0.34 |