Slim Ben Saoud

National Institute of Applied Science and Technology

Papers

Total Citations

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About

Slim Ben Saoud is a researcher specializing in embedded systems, robotics control, and FPGA-based hardware implementation. His work focuses on the intersection of real-time control systems and reconfigurable hardware, particularly for autonomous mobile robots. His most cited paper, "Designing and building embedded environment for robotic control application" (2009, 4 citations), addresses the complexity of embedded robotics controllers by leveraging FPGA circuits and their associated hardware libraries to meet stringent real-time constraints. In earlier foundational work, he studied motion control for industrial autonomous tricycle robots, specifically the "Hercule" platform, tackling path-tracking and parking manoeuvre challenges (2005, 3 citations). He further advanced the field by implementing a fuzzy logic tracking path algorithm on FPGA (2006, 3 citations), demonstrating how behavior-based reactivity can be efficiently realized in hardware. Ben Saoud's contributions are notable for bridging theoretical control algorithms with practical, hardware-accelerated implementations, offering solutions that reduce design complexity while maintaining real-time performance. His work remains relevant for researchers exploring embedded control systems, mobile robotics, and FPGA-based automation.