Papers
9
Total Citations
169
H-Index
6
About
Ahmed Benzerrouk is a robotics researcher whose work has made significant contributions to the fields of multi-robot systems, autonomous navigation, and formation control. His research focuses on developing intelligent control architectures that enable mobile robots to navigate complex, cluttered environments while maintaining geometric formations and avoiding both static and dynamic obstacles. Benzerrouk's most influential contribution, "Stable Navigation in Formation for a Multi-Robot System Based on a Constrained Virtual Structure" (2014), has accumulated 57 citations and stands as a landmark in coordinated multi-robot navigation. His early work on reactive elliptic trajectories for cluttered environments (2011, 37 citations) and dynamical virtual structures for formation navigation (2010, 33 citations) established him as a pioneer in behavior-based and Lyapunov-stable control strategies for robotic systems. A recurring theme throughout his research is the decomposition of complex navigation tasks into manageable subtasks — such as target attraction and obstacle avoidance — using mathematically rigorous stability frameworks including Lyapunov theory and limit cycle methods. His investigations into distributed, altruistic target allocation further demonstrate his commitment to scalable, cooperative multi-robot architectures. With over 150 cumulative citations, Benzerrouk's body of work remains a valuable reference for researchers advancing autonomous and collaborative robotic systems.
Research Focus
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Top Papers
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- 9Toward an hybrid control architecture for a mobile multi-robot systems3 citations · 2008