Theresa Madreiter

TU Wien

Papers

1

Total Citations

3

H-Index

1

About

Theresa Madreiter is a researcher focused on the intersection of vocational education and industrial robotics, with a particular emphasis on work-based learning methodologies. Her most cited work, "A Work-based Learning Approach for Developing Robotics Skills of Maintenance Professionals" (2022), addresses a critical gap in workforce development by designing practical training frameworks that equip maintenance professionals with the hands-on robotics competencies demanded by modern manufacturing environments. This contribution is especially relevant as industries increasingly adopt automation and require upskilling strategies that bridge theoretical knowledge and real-world application. While her citation count is still emerging, her research has already influenced pedagogical approaches in technical education, demonstrating early impact in a niche but growing field. Madreiter’s work is notable for its direct applicability to industry challenges, offering scalable solutions for training programs. Her achievements include integrating experiential learning principles with robotics curricula, positioning her as a key voice in the dialogue between education and industrial innovation. For students and researchers interested in vocational training, human-robot collaboration, or Industry 4.0 skill development, Madreiter’s research provides a foundational model for designing effective, practice-oriented learning pathways.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Work-based Learning Approach for Developing Robotics Skills of Maintenance Professionals
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: TU Wien

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago