Stefan Geyer

Karlsruhe Institute of Technology

Papers

1

Total Citations

3

H-Index

1

About

Stefan Geyer is a researcher at the forefront of real-time control systems, with a particular focus on bridging the gap between high-performance computing and modular robotics frameworks. His key contributions lie in the development of RTCF (Real-Time Control Framework), a pioneering system that seamlessly integrates real-time control capabilities with the widely used Robot Operating System (ROS). This work addresses a critical challenge in modern robotics: enabling precise, low-latency control on general-purpose Linux platforms without sacrificing the modularity and ease of use that ROS offers. Geyer's framework allows developers to encapsulate control logic in a clean, plug-and-play manner, making advanced real-time applications more accessible. While his most-cited paper, "RTCF: A framework for seamless and modular real-time control with ROS" (2021), has garnered 3 citations, its impact is growing as the robotics community increasingly demands high-performance control solutions. Geyer’s research is particularly valuable for students and engineers working on autonomous systems, drones, or industrial robots, where real-time responsiveness is critical. His work exemplifies how thoughtful system design can democratize real-time control, enabling more researchers to build sophisticated, reliable robotic applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
RTCF: A framework for seamless and modular real-time control with ROS
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Karlsruhe Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago