Energy-Aware Joint Orchestration of 5G and Robots: Experimental Testbed and Field Validation

5G mobile networks introduce a new dimension for connecting and operating mobile robots in outdoor environments, leveraging cloud-native and offloading features of 5G networks to enable fully flexible and collaborative cloud robot operations. However, the limited battery life of robots remains a significant obstacle to their effective adoption in real-world exploration scenarios. This paper explores, via field experiments, the potential energy-saving gains of OROS, a joint orchestration of 5G and Robot Operating System (ROS) that coordinates multiple 5G-connected robots both in terms of navigation and sensing, as well as optimizes their cloud-native service resource utilization while minimizing total resource and energy consumption on the robots based on real-time feedback. We designed, implemented and evaluated our proposed OROS in an experimental testbed composed of commercial off-the-shelf robots and a local 5G infrastructure deployed on a campus. The experimental results demonstrated that OROS significantly outperforms state-of-the-art approaches in terms of energy savings by offloading demanding computational tasks to the 5G edge infrastructure and dynamic energy management of on-board sensors (e.g., switching them off when they are not needed). This strategy achieves approximately ~15% energy savings on the robots, thereby extending battery life, which in turn allows for longer operating times and better resource utilization.

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Publication Details

Journal
IEEE Transactions on Network and Service Management
Published
2025-03-26
DOI
https://doi.org/10.1109/tnsm.2025.3555126
Citations
4
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
2.85

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article

Energy-Aware Joint Orchestration of 5G and Robots: Experimental Testbed and Field Validation

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4 citations
IEEE Transactions on Network and Service Management
Modular Robots and Swarm Intelligence
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article

Energy-Aware Joint Orchestration of 5G and Robots: Experimental Testbed and Field Validation

Antonio de la Oliva, Lanfranco Zanzi, Milan Groshev, Carmen Delgado, Xavier Costa‐Pérez, Xi Li
article en
4 citations

Abstract

5G mobile networks introduce a new dimension for connecting and operating mobile robots in outdoor environments, leveraging cloud-native and offloading features of 5G networks to enable fully flexible and collaborative cloud robot operations. However, the limited battery life of robots remains a significant obstacle to their effective adoption in real-world exploration scenarios. This paper explores, via field experiments, the potential energy-saving gains of OROS, a joint orchestration of 5G and Robot Operating System (ROS) that coordinates multiple 5G-connected robots both in terms of navigation and sensing, as well as optimizes their cloud-native service resource utilization while minimizing total resource and energy consumption on the robots based on real-time feedback. We designed, implemented and evaluated our proposed OROS in an experimental testbed composed of commercial off-the-shelf robots and a local 5G infrastructure deployed on a campus. The experimental results demonstrated that OROS significantly outperforms state-of-the-art approaches in terms of energy savings by offloading demanding computational tasks to the 5G edge infrastructure and dynamic energy management of on-board sensors (e.g., switching them off when they are not needed). This strategy achieves approximately ~15% energy savings on the robots, thereby extending battery life, which in turn allows for longer operating times and better resource utilization.

IEEE Transactions on Network and Service ManagementVol. 22(4)
Hospital La Luz (ES), i2CAT (ES), NEC (Germany) (DE), Universidad Carlos III de Madrid (ES)
Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme
Affordable and clean energy
Openalex Percentile: Top 11%
Modular Robots and Swarm Intelligence
2.85
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