Papers

1

Total Citations

3

H-Index

1

About

Jan Herbst is a researcher at the forefront of cyber-physical systems and digital twin technology, with a particular focus on integrating collaborative robotics with advanced communications infrastructure. Their most-cited work, "Implementation Analysis of Collaborative Robot Digital Twins in Physics Engines" (2025), makes a significant contribution by detailing the practical construction of a Digital Twin for a 6G communications testbed. This system uniquely combines two robotic manipulators with a high-precision optical infrared tracking system within Unreal Engine 5, offering actionable implementation insights that bridge the gap between theoretical simulation and real-world deployment. While still early in its citation trajectory, this work has already garnered 3 citations, signaling its growing influence in the robotics and communications communities. Herbst’s research is particularly valuable for engineers and researchers seeking to replicate or build upon complex, multi-domain digital twin environments. By providing transparent, step-by-step guidance on hardware-software integration, Herbst is helping to democratize access to cutting-edge testbed technologies, making them more reproducible and accessible for future innovation in 6G and collaborative robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Implementation Analysis of Collaborative Robot Digital Twins in Physics Engines
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: German Research Centre for Artificial Intelligence

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago