Hassene Seddik

About

Hassene Seddik is a robotics and intelligent control researcher whose work centers on autonomous mobile robot navigation, intelligent control systems, and AI-driven path planning. His research integrates machine learning, fuzzy logic, and neural network methodologies to advance the autonomy and efficiency of robotic systems across terrestrial and underwater environments. Seddik's most impactful contribution, "Design of a PID Optimized Neural Networks and PD Fuzzy Logic Controllers for a Two-Wheeled Mobile Robot" (2020), has garnered 78 citations, establishing him as a notable voice in hybrid intelligent control design. This work introduced a novel Smart Neural Network PID Controller (SNNPIDC) alongside a PD fuzzy logic controller, significantly advancing trajectory control for differential mobile robots. His broader research portfolio explores maze navigation using neuro-fuzzy approaches, obstacle avoidance with fuzzy logic, recursive neural network command prediction, and 3D simulation environments for algorithm testing. More recently, Seddik has expanded into underwater robotics, proposing depth controllers for Remotely Operated Vehicles, and has contributed to optimized ROS-based SLAM implementation. Collectively, his publications — accumulating over 140 citations — reflect a consistent commitment to bridging theoretical intelligent control with practical robotic applications, making his work highly relevant for students and researchers working at the intersection of robotics, control engineering, and artificial intelligence.

Research Focus

Key Achievements

Top Papers

1. 1
   Design of a PID optimized neural networks and PD fuzzy logic controllers for a two‐wheeled mobile robot

   78 citations · 2020
2. 2
   Autonomous smart robot for path predicting and finding in maze based on fuzzy and neuro‐Fuzzy approaches

   17 citations · 2020
3. 3
   Smart Navigation of Mobile Robot Using Neural Network Controller

   11 citations · 2018
4. 4
   A smart mobile robot commands predictor using recursive neural network

   11 citations · 2020
5. 5
   3D Simulator for Navigation of a Mobile Robot Using Simscape-SIMULINK

   8 citations · 2019
6. 6
   Mobile Robot Obstacle Avoidance in labyrinth Environment Using Fuzzy Logic Approach

   7 citations · 2019
7. 7
   Fuzzy Logic Controller for Autonomous Mobile Robot Navigation

   5 citations · 2019
8. 8
   Implementation of a New-Optimized ROS-Based SLAM for Mobile Robot

   4 citations · 2022
9. 9
   Implementation of SNNPID optimized Neural Networks Controller for a two-wheeled mobile robot

   3 citations · 2019
10. 10
    PID Fuzzy and Neural Fuzzy Depth Controllers for an underwater robot: the UROV

    2 citations · 2024

Key Collaborators

Contact & Links