Mohamed Kmich

About

Mohamed Kmich is a rising researcher in robotics and intelligent control systems, with a primary focus on visual servoing and optimization-driven robot control. His work centers on integrating computer vision with robotic manipulation, particularly through image-based visual servoing techniques that enable precise robot control using camera feedback. He has made significant contributions by developing novel algorithms for image registration and robot control, including the Arithmetic Optimization Algorithm for robotic visual servoing and the Chaotic Puma Optimizer for wheeled mobile robots. His most cited paper, "Image-Based Visual Servoing Techniques for Robot Control" (2022, 14 citations), provides a comprehensive comparison of geometric primitive-based methods. He has also advanced the field with his Chaos-Artemisinin Optimizer for PID tuning of 3-DOF manipulators (6 citations). With over 46 total citations across his key works, Kmich is establishing himself as an innovator in applying metaheuristic optimization to real-world robotic challenges, making his research valuable for students and engineers working on autonomous systems and intelligent control.

Research Focus

Key Achievements

Top Papers

1. 1
   Image-Based Visual Servoing Techniques for Robot Control

   14 citations · 2022
2. 2
   Image Registration Using the Arithmetic Optimization Algorithm for Robotic Visual Servoing

   12 citations · 2025
3. 3
   Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots

   12 citations · 2025
4. 4
   Modeling and PID tuning of a 3-DOF robotic manipulator using a novel Chaos-Artemisinin Optimizer

   6 citations · 2025
5. 5
   Control of a Four Degrees of Freedom Robot Using a Sine Cosine Algorithm for Joint Position

   2 citations · 2022

Key Collaborators

Contact & Links