Papers
24
Total Citations
1,089
H-Index
9
About
Abderraouf Maoudj is a robotics researcher whose work spans the intersecting domains of human-robot interaction, autonomous navigation, multi-agent systems, and intelligent control. He is perhaps best known for his comprehensive 2019 literature review on human-robot interaction in industrial collaborative robotics, which has garnered over 430 citations and stands as a landmark reference for researchers navigating the rapidly evolving landscape of cobotic systems. His contributions to mobile robot path planning are equally significant: his 2016 paper combining genetic algorithms with adaptive fuzzy-logic control has accumulated 245 citations, while a subsequent Q-learning-based approach from 2020 has attracted 140 more, reflecting his sustained influence in autonomous navigation research. Maoudj has also made important strides in multi-agent coordination, developing distributed scheduling frameworks for flexible robotic assembly cells and heterogeneous robot teams. His 2022 review on fuzzy-logic collision-free planning for manipulator robots further demonstrates his role as a synthesizer of emerging methodologies. Collectively, his published work exceeds 1,000 citations, marking him as a productive and impactful voice in intelligent robotics, with relevance to both academic research and real-world industrial automation applications.
Research Focus
Key Achievements
Top Papers
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- 3Optimal path planning approach based on Q-learning algorithm for mobile robots140 citations · 2020
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- 8A survey of development frameworks for robotics16 citations · 2016
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