Norbert Bartneck
Papers
1
Total Citations
3
H-Index
1
About
Norbert Bartneck is a researcher at the forefront of intralogistics automation, with a particular focus on the human-robot collaboration challenges inherent in order picking systems. His work critically examines the intersection of manual flexibility and robotic efficiency, addressing one of the most physically demanding and cost-intensive tasks in modern warehousing. Bartneck’s key contributions lie in evaluating how evolving object detection technologies can be integrated into human-robot order picking systems to alleviate ergonomic strain while maintaining operational adaptability. His most-cited paper, "Evaluation of Human-Robot Order Picking Systems Considering the Evolution of Object Detection" (2021), has garnered 3 citations and serves as a foundational piece for researchers exploring the gradual automation of traditionally manual processes. By systematically analyzing the trade-offs between human dexterity and robotic precision, Bartneck provides a roadmap for designing safer, more efficient intralogistic workflows. His work is particularly notable for its practical orientation, offering actionable insights for both industry practitioners and academic researchers seeking to bridge the gap between current manual practices and fully automated solutions.
Research Focus
Key Achievements
Top Papers
- 1