Hellmich Arvid

Papers

1

Total Citations

6

H-Index

1

About

Arvid Hellmich is a leading researcher in industrial robotics, with a primary focus on precision engineering and metrology for articulated robotic systems. His work centers on developing advanced methodologies for assessing and improving the geometric and static accuracy of industrial robots, a critical challenge for high-precision manufacturing applications. Hellmich’s most notable contribution is his pioneering use of the Extended-Double-Ball-Bar (EDBB) and Loaded-Double-Ball-Bar (LDBB) for comprehensive accuracy assessment. In his highly cited 2022 paper, he demonstrated these techniques on a Comau NJ-1 robot, establishing a robust framework for quantifying and compensating for kinematic errors under both unloaded and loaded conditions. This work has garnered significant attention (6 citations) for its practical impact on enhancing robot performance in real-world industrial settings. Hellmich’s research bridges the gap between theoretical metrology and applied robotics, providing engineers with actionable tools to optimize production accuracy. His ongoing efforts continue to push the boundaries of robotic precision, making him a key figure in the evolution of smart manufacturing and automated quality control.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Accuracy Assessment of Articulated Industrial Robots using the Extended- and the Loaded-Double-Ball-Bar
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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