A. Jouili

Papers

Total Citations

H-Index

About

A. Jouili is a researcher specializing in multi-robot systems, with a focus on consensus control, fault detection, and nonlinear dynamics. Their work addresses critical challenges in cooperative robotics, particularly in ensuring reliable and synchronized behavior among networked wheeled mobile robots (WMRs) and multi-tricycle systems. Jouili’s major contributions include developing finite-time consensus protocols using graph theory and stability concepts, enabling rapid coordination in fixed-topology networks. They have also advanced fault detection and isolation (FDI) by integrating Extended Kalman Filters (EKF) into master-slave architectures, allowing robust identification of faults during cooperative tasks. Their most-cited papers, such as “Fault Detection of Multi-Wheeled Robot Consensus Based on EKF” (2024, 4 citations) and “Finite time consensus for multi-tricycle systems under graph theory” (2020, 4 citations), demonstrate foundational work in synchronizing and safeguarding robot formations. Jouili’s research is pivotal for applications in autonomous swarms, industrial automation, and search-and-rescue missions, where reliable multi-robot coordination is essential. Their achievements highlight a commitment to bridging theoretical control frameworks with practical robotic systems, offering valuable insights for students and researchers in nonlinear control and networked robotics.