Chokri Abdelmoula
Papers
7
Total Citations
34
H-Index
4
About
Chokri Abdelmoula is a robotics researcher whose work sits at the intersection of artificial intelligence, embedded systems, and autonomous vehicle control. His primary research focuses on developing intelligent control systems for mobile robots, particularly using fuzzy logic and neuro-fuzzy approaches for behavior control and navigation. Abdelmoula’s most cited work (2013, 9 citations) introduced a novel mobile robot design for wall monitoring, employing two distinct AI-based controllers to manage its behavior. He has made significant contributions to autonomous parking systems, including a versatile, multi-mode parking algorithm implemented on FPGA hardware (2022, 6 citations), which distinguishes itself by accommodating various parking scenarios in a single system. His research also encompasses real-time algorithm implementation on FPGA platforms (2014, 5 citations) and hierarchical obstacle avoidance strategies (2008, 3 citations). Notably, Abdelmoula has designed custom FPGA boards for mobile robot research (2017, 2 citations), bridging the gap between hardware and software development. His work on parallel parking and autonomous navigation (2009, 3 citations) demonstrates practical applications of soft computing techniques for nonlinear control systems. With a career spanning over a decade, Abdelmoula’s contributions advance the field of intelligent robotics by combining theoretical AI methods with real-world hardware implementations.
Research Focus
Key Achievements
Top Papers
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- 5Obstacle avoidance of a mobile robot using a hierarchical control3 citations · 2008
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