Rached Dhaouadi
Papers
8
Total Citations
203
H-Index
5
About
Rached Dhaouadi is a robotics and control systems researcher whose work sits at the intersection of intelligent control, autonomous navigation, and mobile robotics. His research focuses primarily on applying neural network-based methodologies to the challenging problems of trajectory tracking, adaptive control, and autonomous navigation of nonholonomic wheeled mobile robots — systems whose movement is inherently constrained and difficult to control using conventional techniques. Dhaouadi's most influential contribution, "Indirect Adaptive Tracking Control of a Nonholonomic Mobile Robot via Neural Networks" (2012), has accumulated 141 citations, establishing him as a recognized voice in intelligent adaptive control. His body of work consistently explores how neural networks can compensate for unknown or nonlinear robot dynamics, enabling robots to navigate unstructured environments safely without pre-mapped surroundings. This reactive, map-free navigation philosophy is a recurring theme across multiple publications spanning over a decade. Beyond theoretical contributions, Dhaouadi has demonstrated a commitment to engineering education, developing modular mobile robot platforms specifically designed to teach motion-control concepts to students. His comparative analyses of backstepping and neural PID controllers further reflect a rigorous, application-driven research philosophy — one aimed at bridging intelligent algorithms with real-world robotic performance.
Research Focus
Key Achievements
Top Papers
- 1
- 2Neural-based navigation of a differential-drive mobile robot24 citations · 2012
- 3
- 4Neural Based Autonomous Navigation of Wheeled Mobile Robots12 citations · 2016
- 5
- 6
- 7Adaptive PID Neuro-Controller for a Nonlinear Servomechanism3 citations · 2007
- 8