Papers

5

Total Citations

54

H-Index

3

About

Christian Scheifele is a leading researcher at the intersection of robotics, real-time control, and digital twin technology. His work focuses on solving critical challenges in heavy-duty autonomous navigation, particularly for omni-directional Mecanum-wheeled robots, where he addresses issues of slippage, vibration, and energy inefficiency. His most cited paper (44 citations) presents a comprehensive system development and simulation for such robots, highlighting his impact on industrial automation. Scheifele is also a pioneer in extending the Robot Operating System (ROS) with real-time capabilities, enabling precise motion generation through modular control blocks—a key contribution for safety-critical applications. More recently, he has advanced the concept of digital twins, reusing virtual commissioning models for dynamics-based trajectory planning in CNC-controlled robotics. His 2024 and 2025 publications demonstrate how these models can be extended for energy simulation, both offline and online, to optimize manufacturing efficiency. By bridging virtual commissioning with real-time control, Scheifele’s work is shaping the future of flexible, energy-aware, and highly precise robotic systems for industrial use.

Research Focus

Key Achievements

3
H-Index
5
Papers
54
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Heavy-duty omni-directional Mecanum-wheeled robot for autonomous navigation: System development and simulation realization
44 citations · 2015
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Stuttgart, Industrielle Steuerungstechnik (Germany)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago