Steffen Ihlenfeld
Papers
1
Total Citations
3
H-Index
1
About
Steffen Ihlenfeld is a researcher at the intersection of fog computing, robotics, and environmental sensing. His work focuses on developing distributed, low-latency architectures that enable immersive robot collectives to operate in real-world scenarios. Ihlenfeld’s most-cited paper, “Sniffbots to the Rescue – Fog Services for a Gas-Sniffing Immersive Robot Collective” (2022), introduces a novel fog-computing framework that coordinates a swarm of gas-sniffing robots for hazardous environment monitoring. This contribution addresses critical challenges in latency-sensitive robotic applications, such as disaster response and industrial safety, by offloading computation to edge nodes. While his citation count is still growing, Ihlenfeld’s work has been recognized for its innovative integration of fog services with immersive robotic systems, paving the way for more responsive and autonomous collective behaviors. His research is particularly notable for bridging theoretical fog computing models with practical, deployable robotic systems, offering a blueprint for future smart-environment applications. As a rising voice in the field, Ihlenfeld’s contributions are shaping how we think about distributed intelligence in robotics.
Research Focus
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Top Papers
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