Khalid Bouabaz
Papers
2
Total Citations
5
H-Index
2
About
Khalid Bouabaz is a researcher focused on advancing the control and modeling of robotic systems, particularly industrial and multi-manipulator robots. His work centers on two key areas: efficient robot model derivation and robust synchronized control. In his highly cited 2016 paper, "Improved numerical technique for industrial robots model reduction and identification," Bouabaz introduced a novel numerical approach to simplify complex robot dynamic models. This technique eliminates the need for symbolic calculations, making the identification process more practical while accounting for real-world robot constraints—a significant contribution to industrial robotics. With 3 citations, this work has provided a valuable tool for engineers seeking to streamline robot calibration. Complementing this, his 2016 paper on "Variable structure synchronized control of multi-manipulator robots" proposes a robust variable structure controller that handles model uncertainties and ensures simultaneous convergence of both synchronization and position tracking errors. With 2 citations, this research addresses a critical challenge in multi-robot coordination, offering a reliable solution for tasks requiring precise cooperation. Bouabaz’s contributions demonstrate a clear commitment to bridging theoretical control methods with practical robotic applications, making his work a useful reference for students and researchers in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Variable structure synchronized control of multi-manipulator robots2 citations · 2016