Max Robotics — Global Service Robot Directory + US Certification

About

Khaoula Oulidi Omali is a control systems researcher whose work centers on fault detection, isolation, and tolerant control for robotic manipulator systems — a field of growing critical importance in industrial safety and automation. Since 2018, she has systematically advanced model-based diagnostic frameworks, progressing from high-gain observers to increasingly sophisticated sliding mode and higher-order sliding mode methodologies. Her contributions address both actuator and sensor fault scenarios, developing robust Unknown Input Observers capable of detecting, isolating, and compensating for system failures before they cause equipment damage or safety hazards. Among her most notable achievements is the development of fault-tolerant control strategies integrating high-order sliding mode techniques, enabling manipulator systems to maintain safe operation even in the presence of faults — a significant step toward resilient industrial robotics. Her 2020 and 2022 papers, each garnering six citations, represent her most impactful contributions to the field. More recently, she has expanded her research vision to explore digital twin technology as a powerful tool for manipulator robot control, bridging physical and cyber spaces in smart manufacturing environments. Her growing body of work, spanning over two dozen citations collectively, positions her as an emerging voice in intelligent fault management and robust nonlinear control for robotic systems.