Daniel Littfinski

Bundesministerium für Wirtschaft und Energie

Papers

2

Total Citations

9

H-Index

2

About

Daniel Littfinski is a leading researcher at the intersection of robotics, digital twins, and automated production systems. His work focuses on enabling flexible, reconfigurable manufacturing—particularly for timber prefabrication—by bridging the gap between simulation and real-world control. Littfinski’s most cited paper, "Automatic Generation of Digital Twin Models for Simulation of Reconfigurable Robotic Fabrication Systems for Timber Prefabrication" (2021, 7 citations), introduces a novel method for automatically creating digital twins that mirror reconfigurable robotic cells. This contribution is pivotal for the timber industry, allowing rapid simulation and optimization of fabrication processes without manual model building. In his 2024 work, "Durchgängige Steuerung und Simulation" (2 citations), he tackles a critical industry bottleneck: the reliance on proprietary, vendor-specific control and simulation software. By advocating for open platforms, Littfinski’s research promotes seamless integration and interoperability across different robotic systems, reducing engineering complexity. His work has direct implications for smart manufacturing and Industry 4.0, offering scalable solutions for highly customized production. With a clear focus on practical, industry-driven challenges, Littfinski is shaping the future of automated, reconfigurable production systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Generation of Digital Twin Models for Simulation of Reconfigurable Robotic Fabrication Systems for Timber Prefabrication
7 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Bundesministerium für Wirtschaft und Energie

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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