Mohamed Chtourou

About

Mohamed Chtourou is a leading researcher in mobile robotics, with a primary focus on intelligent motion planning, navigation, and control in dynamic environments. His work is distinguished by the innovative integration of bio-inspired optimization algorithms—particularly Particle Swarm Optimization (PSO)—with force field and fuzzy logic control methods. His most significant contributions include the development of the PSO-CF² and PSO-DVSF² frameworks, which provide robust, collision-free path planning for mobile robots operating in both known and unknown environments. These methods optimize robot trajectories by fine-tuning critical parameters, ensuring efficient and safe navigation. Chtourou has also advanced visual servoing by introducing second-order error dynamics to improve robot robustness against kinematic modeling errors. His research has garnered over 30 citations, with his 2010 paper on an optimised fuzzy logic controller for mobile robot navigation being his most cited work (13 citations). Through his systematic application of PSO to enhance force-field-based navigation, Chtourou has established himself as a key figure in the field of autonomous mobile robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Optimised fuzzy logic controller for a mobile robot navigation

   13 citations · 2010
2. 2
   PSO-CF2: A new method for the path planning of a mobile robot

   6 citations · 2015
3. 3
   PSO-DVSF2: A new method for the path planning of mobile robots

   5 citations · 2015
4. 4
   Autonomous PSO-DVSF<SUP align="right">2</SUP>: an optimised force field mobile robot motion planning approach for unknown dynamic environments

   3 citations · 2021
5. 5
   Improving mobile robot robustness in visual servoing application

   2 citations · 2013
6. 6
   PSO optimization of mobile robot trajectories in unknown environments

   2 citations · 2016

Key Collaborators

Contact & Links