Papers

4

Total Citations

80

H-Index

4

About

Ouassima Akhrif is a leading researcher in robotics and nonlinear control systems, with a focus on enhancing the precision and adaptability of industrial robots and flexible structures. Her most impactful work, "Dynamic Path Correction of an Industrial Robot Using a Distance Sensor and an ADRC Controller" (2020, 65 citations), addresses a critical limitation in commercially available six-axis robots: despite high repeatability, they suffer from low path accuracy. Akhrif pioneered a solution that integrates external distance sensors with Active Disturbance Rejection Control (ADRC) to dynamically correct robot trajectories in real time, bridging the gap between calibration and practical, sensor-guided motion. Earlier, she made foundational contributions to the control of flexible-link robots, applying passivity theory to stabilize noncollocated outputs—a challenge where traditional tip-position control fails. Her 2002 paper on this topic (6 citations) introduced novel output choices that preserve system passivity, enabling more robust and energy-efficient control. Akhrif’s work also extends to rapid reorientation of flexible structures, where she explored feedback linearization and singular perturbation methods for agile, precise maneuvering. Her research has direct implications for manufacturing automation, aerospace robotics, and lightweight manipulator design, earning her recognition as a key innovator in bridging theoretical control advances with real-world robotic performance.

Research Focus

Key Achievements

4
H-Index
4
Papers
80
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Path Correction of an Industrial Robot Using a Distance Sensor and an ADRC Controller
65 citations · 2020
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: École de Technologie Supérieure, Global Science & Technology (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago