Adam Owczarkowski
Papers
9
Total Citations
94
H-Index
6
About
Adam Owczarkowski is a control systems researcher whose work centers on advanced robotics control, robust control theory, and nonlinear systems — with a particular focus on the challenging problem of autonomous bicycle robot stabilization. His research has made meaningful contributions to the field by systematically investigating how classical and modern control strategies can be adapted and enhanced for complex, underactuated robotic platforms. Owczarkowski's most influential contribution, combining feedback linearization with robust LQR and LQI control laws for an inertial-wheel-stabilized bicycle robot, has garnered 35 citations and represents a landmark synthesis of linearization techniques and robust control design. His broader body of work explores fault-tolerant control strategies capable of maintaining system stability even under actuator failure — a practically critical concern in real-world robotics. He has also ventured into Nonlinear Model Predictive Control, comparing direct and feedback-linearization-based predictive approaches, and investigated resource-efficient event- and self-triggered control strategies to reduce computational overhead without sacrificing performance. Collectively accumulating nearly 100 citations, Owczarkowski's research offers students and engineers a rigorous, experimentally grounded roadmap for applying sophisticated control methodologies to inherently unstable robotic systems, making his work valuable reading for anyone pursuing autonomous systems, mobile robotics, or advanced control engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9Mathematical Modeling of the Bicycle Robot with the Reaction Wheel2 citations · 2015