Anam Abid

University of Engineering and Technology Lahore, University of Engineering and Technology Peshawar

Papers

Total Citations

H-Index

About

Anam Abid is a robotics and control systems researcher whose work sits at the intersection of intelligent fault detection, sensor fusion, and assistive robotics. Her research has made meaningful contributions to the challenge of ensuring reliability and safety in autonomous and human-assistive robotic systems — areas that are critical as robots increasingly operate in unpredictable, real-world environments. Abid is perhaps best known for her pioneering work on model-free, data-driven fault detection and isolation (FDI) in mobile robots. Recognizing that traditional model-based approaches struggle in dynamic and uncertain environments, she developed multi-sensor, multi-level fusion frameworks that leverage behavioral analysis to detect and isolate faults without reliance on rigid mathematical models. Her 2015 paper on sensor fusion-based fault detection has garnered 20 citations, while her 2017 multi-sensor FDI study extended this work to greater depth and robustness, earning 11 citations. She also explored biologically-inspired approaches, applying Artificial Immune Systems to robot fault detection. Beyond fault diagnosis, Abid has addressed accessibility in assistive technology, developing a compliance-controlled robotic walk assist device using integral sliding mode control, with a particular emphasis on affordability and usability in low-income countries — a socially conscious dimension that distinguishes her research portfolio. With over 50 cumulative citations, her work continues to influence both robotics safety and rehabilitation engineering communities.