Ulrich Konigorski
Papers
6
Total Citations
30
H-Index
3
About
Ulrich Konigorski is a control systems and robotics researcher whose work spans wearable robotics, autonomous systems, trajectory planning, and robotic manipulation. His research is distinguished by its strong integration of mathematical modeling, control theory, and practical engineering applications across diverse robotic platforms. Among his most recognized contributions is a 2022 study on continuous locomotion mode recognition using shank-mounted inertial measurement units and artificial neural networks — a significant advancement for wearable exoskeletons and prosthetic gait assistance systems, garnering 12 citations. His work on time-optimal trajectory generation using non-uniform B-splines (2021, 7 citations) addresses critical challenges in motion planning for robotic systems requiring smooth, efficient paths. Konigorski has also made meaningful contributions to planetary exploration robotics, developing model-based chassis control strategies for over-actuated rovers navigating soft terrain (2019). His earlier foundational work on parallel robotic manipulators — employing differential-algebraic modeling and invariant manifold frameworks — demonstrated rigorous theoretical grounding translated into experimental validation. Collectively, his body of work reflects a career committed to bridging advanced control theory with real-world autonomous and assistive robotic systems, making him a noteworthy figure for students and researchers in mechatronics, rehabilitation engineering, and intelligent robotic control.
Research Focus
Key Achievements
Top Papers
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- 2A Time-optimal Trajectory Generation Approach with Non-uniform B-splines7 citations · 2021
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