Veit Hammerstingl

Technical University of Munich

Papers

2

Total Citations

13

H-Index

2

About

Veit Hammerstingl focuses on the economics and flexibility of modern manufacturing, particularly through the lens of robotics and automation. His key research areas include life cycle cost estimation for robot systems and the integration of autonomous mobile robots (AMRs) in smart factories. His major contribution lies in developing methods for cost estimation during early production planning phases—a critical challenge given the uncertainty of information in simultaneous engineering. This work, captured in his most-cited paper (9 citations), provides a framework for comparing manufacturing systems before detailed specifications are available. Hammerstingl also explores the transformative potential of AMRs, emphasizing their mobility, scalability, and reconfigurability to meet demands for greater production adaptability. His 2018 paper on autonomous mobile robots in the smart factory (4 citations) proposes a dynamic adaptation approach using modular software, addressing the megatrend of customer individualization. While his citation counts reflect a focused, early-career impact, his work bridges cost analysis and operational flexibility—a crucial intersection for Industry 4.0 practitioners and researchers seeking to make automation economically viable and physically agile.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Life Cycle Cost Estimation of Robot Systems in an Early Production Planning Phase
9 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago