H. Griinsteudel

Friedrich-Alexander-Universität Erlangen-Nürnberg

Papers

1

Total Citations

2

H-Index

1

About

H. Griinsteudel’s research centers on advancing industrial robotics, specifically addressing the critical challenge of low absolute accuracy in jointed arm robots. Their major contribution is the development of a geometry-based 6D-pose visual servoing system, a novel approach that enhances the precision of these robots without sacrificing their inherent flexibility and cost-effectiveness. This work, detailed in their 2016 paper, demonstrates how visual feedback can correct positional errors, making industrial robots viable for high-accuracy tasks like assembly or machining. Although the paper has garnered 2 citations, its significance lies in tackling a fundamental limitation that has long disqualified such robots from precision applications. Griinsteudel’s research bridges the gap between repeatability and absolute accuracy, offering a practical solution that could reduce reliance on more expensive, specialized equipment. Their work is particularly notable for its potential to democratize high-precision manufacturing, enabling smaller firms to leverage affordable, flexible robots for demanding tasks. This contribution marks a meaningful step toward integrating vision-based control into industrial automation, with implications for both research and real-world production environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Geometry-based 6D-pose visual servoing system enabling accuracy improvements of industrial robots
2 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago