Imen Dakhli
Papers
1
Total Citations
2
H-Index
1
About
Imen Dakhli is a researcher specializing in robotics and control systems, with a particular focus on bipedal locomotion and dynamic stabilization. Her work addresses the critical challenge of enabling biped robots to walk stably under real-world constraints, including input and output limitations. In her most cited paper, "An LMI-based robust dynamic controller design for the improvement of robot behavior walk, ZMP based" (2015, 2 citations), Dakhli proposes an optimal dynamic controller that leverages the Zero Moment Point (ZMP) criterion to generate stable walking trajectories. By formulating the trajectory generation as a convex optimization problem solved through Linear Matrix Inequalities (LMIs), her approach ensures robust performance even in the presence of disturbances. This contribution is significant for advancing humanoid robotics, where stable locomotion is essential for practical applications. While her citation count is modest, Dakhli's work represents a foundational step in applying robust control theory to bipedal robots, offering a systematic method for improving walking behavior. Her research is valuable for students and engineers interested in the intersection of control theory, optimization, and robotics, particularly those working on legged locomotion systems.
Research Focus
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Top Papers
- 1