Papers
11
Total Citations
90
H-Index
6
About
Zoubir Ahmed‐Foitih is a leading researcher in robotics, specializing in geometric and kinematic modeling, control systems, and aerial manipulation. His work focuses on solving critical challenges in robotic manipulators, particularly for industrial and aerial platforms. His most cited paper (21 citations) addresses geometric modeling and singularity analysis of the 6 DOF Fanuc 200iC robot, a foundational contribution to understanding robot workspace boundaries and accessibility. He further advanced this with a study on inverse geometric model solutions for the same platform (12 citations). In control, Ahmed‐Foitih pioneered a sliding mode control approach integrated with neural networks for 2-DOF manipulators (12 citations), and later developed a PD sliding mode controller for decoupled aerial manipulation (9 citations), enhancing robustness in drone-mounted robotic arms. He also explored augmented reality for robot manipulation (7 citations) and soft computing techniques for path planning (6 citations). His innovative aerial manipulation design, featuring a prismatic joint for geometric center-of-mass compensation (5 citations), demonstrates his commitment to practical, real-world robotic systems. With over 80 citations across his top works, Ahmed‐Foitih’s research bridges theoretical modeling and applied control, making significant impacts on industrial robotics, humanoid systems, and autonomous aerial manipulation.
Research Focus
Key Achievements
Top Papers
- 1Geometric modeling and singularity of 6 DOF Fanuc 200IC robot21 citations · 2014
- 2Workspace Analysis and Geometric Modeling of 6 DOF Fanuc 200IC Robot12 citations · 2015
- 3A sliding mode based control of 2dof robot manipulator using neural network12 citations · 2012
- 4PD Sliding Mode Controller based Decoupled Aerial Manipulation9 citations · 2020
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- 7Trajectory reconstruction for robot programming by demonstration6 citations · 2020
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