Thomas Weingartshofer
Papers
5
Total Citations
60
H-Index
4
About
Thomas Weingartshofer is a robotics researcher specializing in industrial robot path planning, flexible manufacturing systems, and human-robot collaboration. His work addresses one of modern manufacturing's most pressing challenges: enabling robotic systems to adapt rapidly to individualized products and complex, continuously changing production requirements. Weingartshofer's most influential contribution is his optimization-based path planning framework for industrial manufacturing processes, which has garnered 34 citations since 2023, establishing him as an emerging voice in the field. This work, complemented by his research on optimal tool center point and robot base placement (15 citations), provides manufacturers with systematic methods for maximizing robotic workspace utility without costly physical repositioning — a significant practical advance for flexible production lines. His research portfolio also demonstrates a strong interest in surface-based robotic drawing on 3D objects, showcasing how abstract path planning algorithms translate into real-world applications involving complex geometries. Earlier work on collaborative synchronization of a 7-axis robot highlights his broader interest in human-robot cooperation, using feedback linearization to enable intuitive, compliant interaction. Collectively, Weingartshofer's research bridges theoretical optimization with industrial applicability, making meaningful contributions toward the next generation of adaptive, user-responsive robotic manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimal TCP and Robot Base Placement for a Set of Complex Continuous Paths15 citations · 2021
- 3Collaborative Synchronization of a 7-Axis Robot5 citations · 2019
- 4
- 5Flexible Robotic Drawing on 3D Objects with an Industrial Robot2 citations · 2022