Mohamed Adel Sellami
Papers
1
Total Citations
2
H-Index
1
About
Mohamed Adel Sellami is a researcher specializing in robotics, control systems, and optimization, with a particular focus on bipedal locomotion and dynamic stability. His work centers on developing robust control strategies to enhance the walking behavior of humanoid robots, addressing critical challenges in trajectory generation and real-time stabilization. His most cited paper, "An LMI-based robust dynamic controller design for the improvement of robot behavior walk, ZMP based" (2015), introduces a novel approach that combines Linear Matrix Inequalities (LMI) with Zero Moment Point (ZMP) criteria to design optimal dynamic controllers. This method ensures stable walking even under input and output constraints, solving a convex optimization problem to generate reliable trajectories. While his citation count is modest, his contributions are foundational in the niche field of constrained bipedal locomotion, offering practical solutions for robust robot control. Sellami’s work is particularly valuable for researchers and students exploring advanced control theory applications in robotics, demonstrating how mathematical optimization can directly improve real-world robotic performance. His research continues to influence the development of more adaptive and resilient humanoid robots.
Research Focus
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Top Papers
- 1