Christian Reinl

Technische Universität Darmstadt

Papers

9

Total Citations

120

H-Index

5

About

Christian Reinl is a researcher whose work bridges the critical gap between industrial robotics and high-precision manufacturing. His primary research areas include robotic milling, path deviation compensation, and multi-robot coordination. Reinl’s most significant contribution lies in addressing the fundamental limitation of industrial robots—their mechanical compliance—which restricts their use in machining applications requiring high accuracy. His seminal 2011 paper, “Model-based off-line compensation of path deviation for industrial robots in milling applications” (43 citations), introduced a method to simulate and compensate for elastic deformations, enabling robots to achieve the sub-0.1 mm accuracies typically reserved for costly five-axis machine tools. This work, along with his 2012 analysis of robot structure and milling process interaction (26 citations), has been foundational for cost-effective, flexible automation. Beyond machining, Reinl has advanced multi-robot systems, developing predictive control and mixed-integer linear programming methods for optimal task allocation and trajectory planning (20 citations). He also contributed to the Darmstadt Rescue Robot Team, a multidisciplinary effort combining computer science and mechanical engineering for search-and-rescue applications. Reinl’s work continues to shape the future of flexible, accurate robotic manufacturing.

Research Focus

Key Achievements

5
H-Index
9
Papers
120
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Model-based off-line compensation of path deviation for industrial robots in milling applications
43 citations · 2011
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Technische Universität Darmstadt

Top Papers

  1. 1
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    Einsatz von Robotern in der spanenden Fertigung
    6 citations · 2011
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  8. 8
    Optimal Control of Cooperative Multi-Robot Systems using Mixed-Integer Linear Programming
    3 citations · 2007
  9. 9
    Multi-Robot Systems Optimization and Analysis Using MILP and CLP ⁄
    2 citations · 2008

Key Collaborators

Contact & Links

Available for collaboration
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