Otman El Baji
Papers
2
Total Citations
4
H-Index
2
About
Otman El Baji is a robotics researcher whose work centers on the explicit dynamic modeling and control of robotic manipulators, with a particular focus on parallel and serial architectures. His major contribution lies in advancing a novel formulation that provides a direct and systematic procedure for deriving the explicit form of equations of motion, bypassing the computational overhead of traditional recursive methods. In his 2024 study on the Stewart platform, he applied this formalism to establish an efficient explicit dynamic model for this 6-DOF parallel robot, enabling faster and more accurate simulations. Complementing this, his 2022 work extended the approach to serial manipulators with general joints—both prismatic and rotational—making the method broadly applicable for online trajectory tracking control. Though early in his career, with each of his most-cited papers garnering 2 citations, El Baji’s contributions are foundational for real-time control applications where computational efficiency is critical. His research bridges the gap between theoretical dynamics and practical implementation, offering a promising pathway for high-speed, high-precision robotic systems in industrial and research settings.
Research Focus
Key Achievements
Top Papers
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- 2