Eric Kubica
Papers
8
Total Citations
278
H-Index
8
About
Eric Kubica is a robotics and control systems researcher whose work spans bipedal locomotion, fuzzy logic control, and biomechanical modeling. He is perhaps best known for introducing the **Foot Placement Estimator (FPE)**, a dynamic measure designed to restore balance in bipedal robotic systems rather than simply maintain it — a conceptual shift that earned the 2007 paper 118 citations and influenced both robotics and biomechanics communities. His follow-up investigation into human foot placement in the sagittal plane (53 citations) bridged computational models with biological reality, grounding robotic control strategies in observed human behavior. Kubica has also made sustained contributions to fuzzy control theory, developing stable multi-input multi-output fuzzy controllers, adaptive frameworks for nonlinear systems, and neural-fuzzy mapping architectures. His early work applying fuzzy control to flexible robotic arms demonstrated practical utility across both simulation and physical hardware. A recurring theme throughout his research is the integration of intelligent control strategies — fuzzy, neural, and adaptive — with real-world mechanical systems, including shape memory alloy actuators. With over 275 cumulative citations, Kubica's body of work offers valuable insights for students and engineers working at the intersection of robotics, biomechanics, and advanced control theory.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human Foot Placement and Balance in the Sagittal Plane53 citations · 2009
- 3A fuzzy control strategy for a flexible single link robot29 citations · 2002
- 4A novel fuzzy framework for nonlinear system control24 citations · 2010
- 5Designing Stable MIMO Fuzzy Controllers17 citations · 2005
- 6
- 7Adaptive SMA actuator priming using resistance feedback13 citations · 2011
- 8A neural fuzzy framework for system mapping applications9 citations · 2010