Christian Esteve Rothenberg
Papers
3
Total Citations
43
H-Index
2
About
Christian Esteve Rothenberg is a leading researcher at the intersection of programmable networks, industrial automation, and emerging computing paradigms. His work primarily focuses on leveraging Software-Defined Networking (SDN) and data plane programmability—particularly through the P4 language—to enable ultra-low-latency control for industrial robotics and cyber-physical systems. Rothenberg’s major contributions include demonstrating how in-network processing can reduce latency in robot arm control, a critical enabler for Industry 4.0 applications requiring real-time responsiveness. His most cited work, “Towards Low Latency Industrial Robot Control in Programmable Data Planes” (2020, 33 citations), showcases how programmable switches can offload control logic, achieving faster and safer human-robot collaboration. More recently, he has ventured into neuromorphic computing, exploring brain-inspired architectures for softwarized networks, as seen in his 2025 study. With a career spanning impactful publications and pioneering work at the crossroads of networking and robotics, Rothenberg continues to shape the future of low-latency, intelligent networked systems.
Research Focus
Key Achievements
Top Papers
- 1Towards Low Latency Industrial Robot Control in Programmable Data Planes33 citations · 2020
- 2In-network P4-based Low Latency Robot Arm Control8 citations · 2019
- 3