Ulf Schaper
Papers
2
Total Citations
30
H-Index
2
About
Ulf Schaper’s research centers on advanced control systems for large-scale robotic and industrial machinery, with a particular focus on crane automation and real-time trajectory planning. His major contributions lie in developing two-degree-of-freedom (2DOF) control architectures that combine feedforward and feedback strategies to achieve precise tracking performance on complex, nonlinear mechanical systems. Schaper pioneered model-predictive reference trajectory planning under real-time constraints, enabling rotary cranes to execute smooth, efficient motions while respecting physical limits. His work on crane rotator control—a system that adjusts the skew angle of container spreaders in harbor operations—demonstrates a complete, practical solution for nonlinear robot-like mechanisms, integrating observer design and flatness-based feedforward control. With his most-cited paper garnering 18 citations and his second receiving 12, Schaper’s impact is evident in the niche but critical domain of heavy-lift automation. His achievements include bridging theoretical control methods with real-world industrial applications, offering a blueprint for safe, high-performance operation in logistics and construction. For students and researchers, Schaper’s work exemplifies how rigorous control theory can solve tangible engineering challenges in robotics and automation.
Research Focus
Key Achievements
Top Papers
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- 2