Integrated hybrid edge-cloud architecture for multi-robot and human-robot collaboration using ROS 2-MQTT-FIWARE in Mediterranean Greenhouses
Integrated hybrid edge-cloud architecture for multi-robot and human-robot collaboration using ROS 2-MQTT-FIWARE in Mediterranean Greenhouses
This paper proposes a cloud-based hybrid architecture that bridges ROS 2 edge computing with the iVeg Decision Support System via MQTT and FIWARE to enable seamless interoperability among multiple robots in communication-constrained greenhouse environments. Validated through high-fidelity simulation and real-world testing, the framework maintains persistent connectivity and data integrity under adverse network conditions, eliminating information silos and establishing a scalable methodological precedent for Greenhouse Models as a Service (GMaaS).
The study validates a hybrid edge-cloud architecture integrating ROS 2, MQTT, and FIWARE for multi-robot coordination in Mediterranean greenhouses, demonstrating persistent connectivity under adverse network conditions through both high-fidelity simulation and real-world testing.
Source: arXiv Robotics — research abstracts · Read original article ↗
Loading article text…
What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- paper: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
ture was validated in a high-fidelity simulation environment and subsequently tested in a real-world greenhouse scenario, demonstrating its ability to maintain persistent connectivity and data integrity under adverse network conditions. The results indicate that the integration of MQTT effectively eliminates information silos, providing a scalable and decentralised solution for managing complex robotic missions, whic
Open source S5
Source:arXiv Robotics — research abstracts · arxiv.org