L. Abdelatif
Papers
2
Total Citations
6
H-Index
2
About
L. Abdelatif’s research focuses on the computational dynamics of robotic systems, with a particular emphasis on parallel algorithms for efficient modeling and simulation. Their major contributions lie in the development of recursive Newton–Euler formulations tailored for tree-type robots, enabling faster and more scalable computation of inertia matrices and dynamic equations. This work addresses critical challenges in real-time robot control and simulation, where computational speed is paramount. Abdelatif’s most cited paper, “Parallel computation of the inertia matrix of a tree type robot using one directional recursion of Newton-Euler formulation” (1996, 4 citations), introduces a novel one-directional recursion technique that reduces computational overhead. Their earlier work, “A novel parallel recursive Newton–Euler algorithm for modelling and computation of robot dynamics” (1994, 2 citations), laid the groundwork for parallelizable dynamic modeling. Though citation counts are modest, these contributions are foundational for researchers exploring high-performance robotics and parallel computing, offering efficient solutions that continue to inform modern robot design and control strategies.
Research Focus
Key Achievements
Top Papers
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- 2