K Torabiz
Papers
2
Total Citations
28
H-Index
2
About
K Torabiz is a researcher specializing in the intersection of robotics, control theory, and smart materials. Their work focuses on developing robust and intelligent control strategies for complex electromechanical systems, particularly those with uncertain or nonlinear dynamics. A key contribution is the application of Quantitative Feedback Theory (QFT) to design robust controllers for SCARA robots, addressing real-world challenges like model uncertainties and external disturbances—a practical approach that has garnered 18 citations. Torabiz has also made notable advances in the control of conducting polymer actuators, which are crucial for biomimetic robots and biomedical devices. By employing Takagi-Sugeno fuzzy modelling and parallel distributed compensation control, they tackled the intricate electro-chemo-mechanical dynamics of these actuators, a work cited 10 times. This dual focus on both traditional robotic manipulators and emerging soft actuator technologies demonstrates a versatile expertise. Torabiz’s research is particularly valuable for engineers seeking to bridge the gap between theoretical control methods and the practical demands of next-generation robotic systems, from industrial automation to bio-inspired devices.
Research Focus
Key Achievements
Top Papers
- 1Modelling and control of a SCARA robot using quantitative feedback theory18 citations · 2009
- 2