Mohamed Laid Hadjili
Papers
8
Total Citations
93
H-Index
7
About
Mohamed Laid Hadjili is a leading researcher in the field of robotics and intelligent control systems, with a particular focus on continuum robot manipulators and advanced neural network-based control strategies. His work addresses critical challenges in surgical robotics, where he has developed innovative solutions for the dynamic modeling and optimized control of cable-driven continuum robots. Hadjili’s major contributions include the creation of an Optimized Nonlinear Sliding Mode Control for continuum manipulators, an Adaptive Fourier Series Neural Network PID Controller, and the application of artificial neural networks to solve the complex inverse kinematic models of variable curvature continuum robots. His research integrates cutting-edge optimization algorithms, such as Teaching–Learning-Based Optimization and Archimedes Optimization, with neural network predictive control to enhance robotic precision and adaptability. With his most-cited paper garnering 18 citations and several others exceeding 10, Hadjili’s work has significantly impacted the advancement of surgical robotics and nonlinear control theory. His 2024 paper on enhancing surgical robotics through dynamic modeling and optimized control strategies represents a notable achievement, offering comprehensive solutions to long-standing challenges in the field.
Research Focus
Key Achievements
Top Papers
- 1Optimized Nonlinear Sliding Mode Control of a Continuum Robot Manipulator18 citations · 2022
- 2Adaptive Fourier Series Neural Network PID Controller16 citations · 2021
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