Sebastian Kurscheid

Technical University of Munich, University Hospital of Lausanne

Papers

2

Total Citations

4

H-Index

2

About

Sebastian Kurscheid is a researcher advancing the frontiers of industrial robotics, with a focus on making automation accessible for high-mix, low-volume manufacturing. His work centers on two key areas: skill-based robot programming and human-robot collaboration (HRC). Kurscheid’s major contribution lies in developing methods to reduce the expertise and effort required for robot programming, enabling flexible automation without costly manual reconfiguration. His 2024 paper on automated robot skill parameterization (2 citations) proposes a framework that translates task specifications directly into robot skills, a critical step for small-batch production. Complementing this, his 2023 study on HRC implementation barriers (2 citations) systematically identifies why collaborative robots remain underutilized in industry, offering a roadmap to bridge the gap between research and practice. While his citation counts are early, these works address fundamental bottlenecks in modern manufacturing. Kurscheid’s research is particularly notable for its practical orientation—he doesn’t just theorize automation but pinpoints the real-world obstacles to its adoption, from programming complexity to safety standards. For students and researchers, his work offers a clear-eyed view of where robotics must evolve to truly partner with human workers.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Automated Robot Skill Parameterization Based On Task Specifications
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Technical University of Munich, University Hospital of Lausanne

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 22 days ago