Papers
7
Total Citations
51
H-Index
4
About
Samia Mellah is a robotics and control systems researcher whose work centers on fault detection, diagnosis, and accommodation in wheeled mobile robots — a critical area for ensuring the reliability and safety of autonomous systems in industrial environments. Her research spans both unicycle and four-mecanum wheeled mobile robot (4-MWMR) platforms, with a particular focus on developing robust methods to detect, isolate, and accommodate sensor and actuator faults before they compromise robot performance. Among her most significant contributions is her pioneering application of combined model-based and hardware redundancy approaches for fault detection and isolation (FDI), as demonstrated in her most-cited work on unicycle mobile robots (2018, 17 citations). She has further advanced the field by employing unknown input observer (UIO) frameworks for linear parameter varying systems, enabling the detection of even small-amplitude faults in complex mecanum-wheeled platforms. Beyond fault diagnosis, Mellah has also addressed trajectory reconfiguration strategies to minimize time delays caused by unexpected obstacles, underscoring her commitment to practical industrial applicability. With a growing body of work accumulating over 50 citations, her research offers foundational tools for building smarter, more resilient autonomous mobile robots.
Research Focus
Key Achievements
Top Papers
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- 3Mobile Robot Additive Fault Diagnosis and Accommodation8 citations · 2019
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