Carmen Delgado

i2CAT

Papers

5

Total Citations

45

H-Index

4

About

Carmen Delgado is a leading researcher at the intersection of 5G/6G mobile networks and collaborative robotics, with a focused mission to enable mission-critical operations in the most challenging environments. Her work centers on orchestrating cellular-connected multi-robot teams for Search-and-Rescue (SAR) and emergency response, tackling the fundamental bottleneck of limited battery life. Delgado pioneered the OROS framework (Orchestrating ROS-driven Collaborative Connected Robots), which leverages 5G’s cloud-native and offloading capabilities to dynamically manage robot energy consumption and computational tasks in real time. Her contributions extend to the REACT system, an energy-aware orchestrator specifically designed for indoor SAR scenarios like fires or structural collapses, where robots assist first-responders. With her most-cited works accumulating over 45 citations since 2022, Delgado’s impact is evident in her field-validated testbeds that bridge theoretical orchestration with practical deployment. Notably, her 2025 paper on joint 5G-robot orchestration demonstrates real-world experimental validation, marking a significant step toward autonomous, energy-efficient robotic fleets. For students and researchers, Delgado’s work represents a critical convergence of telecommunications and robotics, offering a blueprint for resilient, collaborative systems that save lives.

Research Focus

Key Achievements

4
H-Index
5
Papers
45
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Cellular-enabled Collaborative Robots Planning and Operations for Search-and-Rescue Scenarios
13 citations · 2024
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: i2CAT

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago