Papers
3
Total Citations
89
H-Index
3
About
R. Unbehauen is a leading figure in the field of iterative learning control (ILC), with a primary focus on advancing trajectory tracking for nonlinear and robotic systems. His major contributions lie in developing robust control schemes that eliminate singularities and reduce reliance on precise system models, making them highly practical for real-world applications. Notably, his 2002 paper on ILC for manipulator trajectory tracking, which has garnered 39 citations, introduced an identification-based approach that effectively handles unknown parameters and nonlinearities without control singularities. Complementing this, his work on robot visual servoing (34 citations) established a stability criterion for ILC systems with initial resetting errors, bridging a critical gap between theoretical design and practical implementation. Additionally, his integration of neural networks with ILC (16 citations) further expanded the toolkit for nonlinear system control. Through these contributions, Unbehauen has significantly influenced the development of adaptive, learning-based control strategies, earning recognition as a key innovator in the field. His research continues to inspire engineers and researchers working on autonomous systems and precision robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot visual servoing with iterative learning control34 citations · 2002
- 3